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ORCIDKarthik Narasimhan
Karthik R. Narasimhan
Person information
- affiliation: Princeton University, Department of Computer Science, NJ, USA
- affiliation (PhD 2017): Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
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Books and Theses
- 2017
[b1]Karthik Narasimhan:
Grounding natural language with autonomous interaction. Massachusetts Institute of Technology, Cambridge, USA, 2017
Journal Articles
- 2018
- [j4]Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola:
Grounding Language for Transfer in Deep Reinforcement Learning. J. Artif. Intell. Res. 63: 849-874 (2018) - [j3]Michaela Jänner, Karthik Narasimhan, Regina Barzilay:
Representation Learning for Grounded Spatial Reasoning. Trans. Assoc. Comput. Linguistics 6: 49-61 (2018) - 2017
- [j2]Jiaming Luo, Karthik Narasimhan, Regina Barzilay:
Unsupervised Learning of Morphological Forests. Trans. Assoc. Comput. Linguistics 5: 353-364 (2017) - 2015
- [j1]Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola:
An Unsupervised Method for Uncovering Morphological Chains. Trans. Assoc. Comput. Linguistics 3: 157-167 (2015)
Conference and Workshop Papers
- 2023
- [c54]Yushan Su, Vishvak Murahari, Karthik Narasimhan, Kai Li:
PruMUX: Augmenting Data Multiplexing with Model Compression. ACL (Findings) 2023: 13302-13315 - [c53]Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan:
Toxicity in chatgpt: Analyzing persona-assigned language models. EMNLP (Findings) 2023: 1236-1270 - [c52]Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan:
MUX-PLMs: Data Multiplexing for High-throughput Language Models. EMNLP (Findings) 2023: 4540-4554 - [c51]Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan:
C-STS: Conditional Semantic Textual Similarity. EMNLP 2023: 5669-5690 - [c50]Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik R. Narasimhan, Yuan Cao:
ReAct: Synergizing Reasoning and Acting in Language Models. ICLR 2023 - [c49]Pranjal Aggarwal, Ameet Deshpande, Karthik R. Narasimhan:
SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification. ICML 2023: 228-247 - [c48]Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao:
Reflexion: language agents with verbal reinforcement learning. NeurIPS 2023 - [c47]John Yang, Akshara Prabhakar, Karthik Narasimhan, Shunyu Yao:
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback. NeurIPS 2023 - [c46]Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, Karthik Narasimhan:
Tree of Thoughts: Deliberate Problem Solving with Large Language Models. NeurIPS 2023 - [c45]Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan:
MUX-PLMs: Pre-training Language Models with Data Multiplexing. RepL4NLP@ACL 2023: 196-211 - 2022
- [c44]Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan:
CARETS: A Consistency And Robustness Evaluative Test Suite for VQA. ACL (1) 2022: 6392-6405 - [c43]Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik R. Narasimhan, Anirudha Majumdar:
Leveraging Language for Accelerated Learning of Tool Manipulation. CoRL 2022: 1531-1541 - [c42]Zeyu Wang
, Yu Wu, Karthik Narasimhan, Olga Russakovsky:
Multi-query Video Retrieval. ECCV (14) 2022: 233-249 - [c41]Jens Tuyls, Shunyu Yao, Sham M. Kakade, Karthik Narasimhan:
Multi-Stage Episodic Control for Strategic Exploration in Text Games. ICLR 2022 - [c40]Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan:
Linking Emergent and Natural Languages via Corpus Transfer. ICLR 2022 - [c39]Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, Ravi Netravali:
Revelio: ML-Generated Debugging Queries for Finding Root Causes in Distributed Systems. MLSys 2022 - [c38]Ameet Deshpande, Partha Talukdar, Karthik Narasimhan:
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer. NAACL-HLT 2022: 3610-3623 - [c37]Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen:
Can Rationalization Improve Robustness? NAACL-HLT 2022: 3792-3805 - [c36]Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Jonathan D. Cohen, Nathaniel D. Daw, Karthik Narasimhan, Tom Griffiths:
Using natural language and program abstractions to instill human inductive biases in machines. NeurIPS 2022 - [c35]Vishvak Murahari, Carlos E. Jimenez, Runzhe Yang, Karthik Narasimhan:
DataMUX: Data Multiplexing for Neural Networks. NeurIPS 2022 - [c34]Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge:
Learning Physics Constrained Dynamics Using Autoencoders. NeurIPS 2022 - [c33]Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan:
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents. NeurIPS 2022 - 2021
- [c32]Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths:
Learning Rewards From Linguistic Feedback. AAAI 2021: 6002-6010 - [c31]Runzhe Yang, Jingxiao Chen, Karthik Narasimhan:
Improving Dialog Systems for Negotiation with Personality Modeling. ACL/IJCNLP (1) 2021: 681-693 - [c30]Shunyu Yao, Binghui Peng, Christos H. Papadimitriou, Karthik Narasimhan:
Self-Attention Networks Can Process Bounded Hierarchical Languages. ACL/IJCNLP (1) 2021: 3770-3785 - [c29]Austin W. Hanjie, Victor Zhong, Karthik Narasimhan:
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning. ICML 2021: 4051-4062 - [c28]Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge:
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies. ICML 2021: 11795-11807 - [c27]Shunyu Yao, Karthik Narasimhan, Matthew J. Hausknecht:
Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents. NAACL-HLT 2021: 3097-3102 - [c26]Liwei Song, Xinwei Yu, Hsuan-Tung Peng, Karthik Narasimhan:
Universal Adversarial Attacks with Natural Triggers for Text Classification. NAACL-HLT 2021: 3724-3733 - [c25]Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan:
Safe Reinforcement Learning with Natural Language Constraints. NeurIPS 2021: 13794-13808 - [c24]Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer:
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark. NeurIPS 2021: 21505-21519 - 2020
- [c23]Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. CVPR Workshops 2020: 4000-4004 - [c22]Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky:
Towards Unique and Informative Captioning of Images. ECCV (7) 2020: 629-644 - [c21]Tsung-Yen Yang, Andrew S. Lan, Karthik Narasimhan:
Robust and Interpretable Grounding of Spatial References with Relation Networks. EMNLP (Findings) 2020: 1908-1923 - [c20]Ameet Deshpande, Karthik Narasimhan:
Guiding Attention for Self-Supervised Learning with Transformers. EMNLP (Findings) 2020: 4676-4686 - [c19]Shunyu Yao, Rohan Rao, Matthew J. Hausknecht, Karthik Narasimhan:
Keep CALM and Explore: Language Models for Action Generation in Text-based Games. EMNLP (1) 2020: 8736-8754 - [c18]Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge:
Projection-Based Constrained Policy Optimization. ICLR 2020 - [c17]Mark Braverman, Xinyi Chen, Sham M. Kakade, Karthik Narasimhan, Cyril Zhang, Yi Zhang:
Calibration, Entropy Rates, and Memory in Language Models. ICML 2020: 1089-1099 - [c16]Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation. NeurIPS 2020 - [c15]Raeid Saqur, Karthik Narasimhan:
Multimodal Graph Networks for Compositional Generalization in Visual Question Answering. NeurIPS 2020 - 2019
- [c14]Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Ravi Netravali:
A System-Wide Debugging Assistant Powered by Natural Language Processing. SoCC 2019: 171-177 - [c13]Yilun Du, Karthik Narasimhan:
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning. ICML 2019: 1696-1705 - [c12]Runzhe Yang, Xingyuan Sun, Karthik Narasimhan:
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation. NeurIPS 2019: 14610-14621 - 2017
- [c11]Charl Johannes van Heerden, Damianos G. Karakos, Karthik Narasimhan, Marelie H. Davel, Richard M. Schwartz:
Constructing sub-word units for spoken term detection. ICASSP 2017: 5780-5784 - 2016
- [c10]Kayhan N. Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, Samuel Gershman:
Nonparametric Spherical Topic Modeling with Word Embeddings. ACL (2) 2016 - [c9]Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay:
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge. EMNLP 2016: 1918-1923 - [c8]Karthik Narasimhan, Adam Yala, Regina Barzilay:
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. EMNLP 2016: 2355-2365 - [c7]Tejas D. Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Josh Tenenbaum:
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation. NIPS 2016: 3675-3683 - [c6]Yewen Pu, Karthik Narasimhan, Armando Solar-Lezama, Regina Barzilay:
sk_p: a neural program corrector for MOOCs. SPLASH (Companion Volume) 2016: 39-40 - 2015
- [c5]Karthik Narasimhan, Regina Barzilay:
Machine Comprehension with Discourse Relations. ACL (1) 2015: 1253-1262 - [c4]Karthik Narasimhan, Tejas D. Kulkarni, Regina Barzilay:
Language Understanding for Text-based Games using Deep Reinforcement Learning. EMNLP 2015: 1-11 - [c3]Jonathan H. Huggins, Karthik Narasimhan, Ardavan Saeedi, Vikash Mansinghka:
JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes. ICML 2015: 693-701 - 2014
- [c2]Karthik Narasimhan, Damianos G. Karakos, Richard M. Schwartz, Stavros Tsakalidis, Regina Barzilay:
Morphological Segmentation for Keyword Spotting. EMNLP 2014: 880-885 - 1999
- [c1]Karthik Narasimhan, José C. Príncipe, Donald G. Childers:
Nonlinear dynamic modeling of the voiced excitation for improved speech synthesis. ICASSP 1999: 389-392
Informal and Other Publications
- 2024
- [i67]Alex Zhang, Khanh Nguyen, Jens Tuyls, Albert Lin, Karthik Narasimhan:
Language-Guided World Models: A Model-Based Approach to AI Control. CoRR abs/2402.01695 (2024) - 2023
- [i66]Aniket Agarwal, Alex Zhang, Karthik Narasimhan, Igor Gilitschenski, Vishvak Murahari, Yash Kant:
Building Scalable Video Understanding Benchmarks through Sports. CoRR abs/2301.06866 (2023) - [i65]Pranjal Aggarwal, Ameet Deshpande, Karthik Narasimhan:
SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification. CoRR abs/2301.11309 (2023) - [i64]Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan:
MUX-PLMs: Pre-training Language Models with Data Multiplexing. CoRR abs/2302.12441 (2023) - [i63]Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan:
Toxicity in ChatGPT: Analyzing Persona-assigned Language Models. CoRR abs/2304.05335 (2023) - [i62]Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, Karthik Narasimhan:
Tree of Thoughts: Deliberate Problem Solving with Large Language Models. CoRR abs/2305.10601 (2023) - [i61]Yushan Su, Vishvak Murahari, Karthik Narasimhan, Kai Li:
PruMUX: Augmenting Data Multiplexing with Model Compression. CoRR abs/2305.14706 (2023) - [i60]Ameet Deshpande, Tanmay Rajpurohit, Karthik Narasimhan, Ashwin Kalyan:
Anthropomorphization of AI: Opportunities and Risks. CoRR abs/2305.14784 (2023) - [i59]Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan:
CSTS: Conditional Semantic Textual Similarity. CoRR abs/2305.15093 (2023) - [i58]Michael Tang, Shunyu Yao, John Yang, Karthik Narasimhan:
Referral Augmentation for Zero-Shot Information Retrieval. CoRR abs/2305.15098 (2023) - [i57]John Yang, Akshara Prabhakar, Karthik Narasimhan, Shunyu Yao:
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback. CoRR abs/2306.14898 (2023) - [i56]Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan:
InstructEval: Systematic Evaluation of Instruction Selection Methods. CoRR abs/2307.00259 (2023) - [i55]Shunyu Yao, Howard Chen, Austin W. Hanjie, Runzhe Yang, Karthik Narasimhan:
COLLIE: Systematic Construction of Constrained Text Generation Tasks. CoRR abs/2307.08689 (2023) - [i54]Jens Tuyls, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Karthik Narasimhan, Sham M. Kakade:
Scaling Laws for Imitation Learning in NetHack. CoRR abs/2307.09423 (2023) - [i53]Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths:
Cognitive Architectures for Language Agents. CoRR abs/2309.02427 (2023) - [i52]Baian Chen, Chang Shu, Ehsan Shareghi, Nigel Collier, Karthik Narasimhan, Shunyu Yao:
FireAct: Toward Language Agent Fine-tuning. CoRR abs/2310.05915 (2023) - [i51]Carlos E. Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, Karthik Narasimhan:
SWE-bench: Can Language Models Resolve Real-World GitHub Issues? CoRR abs/2310.06770 (2023) - [i50]Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan:
Progressively Efficient Learning. CoRR abs/2310.13004 (2023) - [i49]Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan:
QualEval: Qualitative Evaluation for Model Improvement. CoRR abs/2311.02807 (2023) - [i48]Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik R. Narasimhan, Ameet Deshpande:
GEO: Generative Engine Optimization. CoRR abs/2311.09735 (2023) - 2022
- [i47]Jens Tuyls, Shunyu Yao, Sham M. Kakade, Karthik Narasimhan:
Multi-Stage Episodic Control for Strategic Exploration in Text Games. CoRR abs/2201.01251 (2022) - [i46]Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky:
Multi-query Video Retrieval. CoRR abs/2201.03639 (2022) - [i45]Vishvak Murahari, Carlos E. Jimenez, Runzhe Yang, Karthik Narasimhan:
DataMUX: Data Multiplexing for Neural Networks. CoRR abs/2202.09318 (2022) - [i44]Austin W. Hanjie, Ameet Deshpande, Karthik Narasimhan:
Semantic Supervision: Enabling Generalization over Output Spaces. CoRR abs/2202.13100 (2022) - [i43]Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan:
CARETS: A Consistency And Robustness Evaluative Test Suite for VQA. CoRR abs/2203.07613 (2022) - [i42]Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan:
Linking Emergent and Natural Languages via Corpus Transfer. CoRR abs/2203.13344 (2022) - [i41]Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen:
Can Rationalization Improve Robustness? CoRR abs/2204.11790 (2022) - [i40]Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Nathaniel D. Daw, Jonathan D. Cohen, Karthik Narasimhan, Thomas L. Griffiths:
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. CoRR abs/2205.11558 (2022) - [i39]Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik Narasimhan, Anirudha Majumdar:
Leveraging Language for Accelerated Learning of Tool Manipulation. CoRR abs/2206.13074 (2022) - [i38]Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan:
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents. CoRR abs/2207.01206 (2022) - [i37]Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao:
ReAct: Synergizing Reasoning and Acting in Language Models. CoRR abs/2210.03629 (2022) - [i36]Henry Tang, Ameet Deshpande, Karthik Narasimhan:
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training. CoRR abs/2211.08547 (2022) - [i35]Ameet Deshpande, Md. Arafat Sultan, Anthony Ferritto, Ashwin Kalyan, Karthik Narasimhan, Avirup Sil:
SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers. CoRR abs/2211.16634 (2022) - [i34]Howard Chen, Huihan Li, Danqi Chen, Karthik Narasimhan:
Controllable Text Generation with Language Constraints. CoRR abs/2212.10466 (2022) - 2021
- [i33]H. J. Austin Wang, Karthik Narasimhan:
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning. CoRR abs/2101.07393 (2021) - [i32]Shunyu Yao, Karthik Narasimhan, Matthew J. Hausknecht:
Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents. CoRR abs/2103.13552 (2021) - [i31]Shunyu Yao, Binghui Peng, Christos H. Papadimitriou, Karthik Narasimhan:
Self-Attention Networks Can Process Bounded Hierarchical Languages. CoRR abs/2105.11115 (2021) - [i30]Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, Ravi Netravali:
Revelio: ML-Generated Debugging Queries for Distributed Systems. CoRR abs/2106.14347 (2021) - [i29]Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer:
SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark. CoRR abs/2110.10661 (2021) - [i28]Ameet Deshpande, Partha Talukdar, Karthik Narasimhan:
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer. CoRR abs/2110.14782 (2021) - 2020
- [i27]Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. CoRR abs/2003.14269 (2020) - [i26]Liwei Song, Xinwei Yu, Hsuan-Tung Peng, Karthik Narasimhan:
Universal Adversarial Attacks with Natural Triggers for Text Classification. CoRR abs/2005.00174 (2020) - [i25]Tsung-Yen Yang, Karthik Narasimhan:
Robust and Interpretable Grounding of Spatial References with Relation Networks. CoRR abs/2005.00696 (2020) - [i24]Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge:
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies. CoRR abs/2006.11645 (2020) - [i23]Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation. CoRR abs/2007.05655 (2020) - [i22]Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky:
Towards Unique and Informative Captioning of Images. CoRR abs/2009.03949 (2020) - [i21]Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths:
Learning Rewards from Linguistic Feedback. CoRR abs/2009.14715 (2020) - [i20]Ameet Deshpande, Karthik Narasimhan:
Guiding Attention for Self-Supervised Learning with Transformers. CoRR abs/2010.02399 (2020) - [i19]Shunyu Yao, Rohan Rao, Matthew J. Hausknecht, Karthik Narasimhan:
Keep CALM and Explore: Language Models for Action Generation in Text-based Games. CoRR abs/2010.02903 (2020) - [i18]Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge:
Projection-Based Constrained Policy Optimization. CoRR abs/2010.03152 (2020) - [i17]Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan:
Safe Reinforcement Learning with Natural Language Constraints. CoRR abs/2010.05150 (2020) - [i16]Runzhe Yang, Jingxiao Chen, Karthik Narasimhan:
Generating Strategic Dialogue for Negotiation with Theory of Mind. CoRR abs/2010.09954 (2020) - [i15]Rachit Dubey, Erin Grant, Michael Luo, Karthik Narasimhan, Thomas L. Griffiths:
Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information. CoRR abs/2011.13782 (2020) - 2019
- [i14]Yilun Du, Karthik Narasimhan:
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning. CoRR abs/1905.04819 (2019) - [i13]Mark Braverman, Xinyi Chen, Sham M. Kakade, Karthik Narasimhan, Cyril Zhang, Yi Zhang:
Calibration, Entropy Rates, and Memory in Language Models. CoRR abs/1906.05664 (2019) - [i12]Runzhe Yang, Xingyuan Sun, Karthik Narasimhan:
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation. CoRR abs/1908.08342 (2019) - 2017
- [i11]Jiaming Luo, Karthik Narasimhan, Regina Barzilay:
Unsupervised Learning of Morphological Forests. CoRR abs/1702.07015 (2017) - [i10]Michaela Jänner, Karthik Narasimhan, Regina Barzilay:
Representation Learning for Grounded Spatial Reasoning. CoRR abs/1707.03938 (2017) - [i9]Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola:
Deep Transfer in Reinforcement Learning by Language Grounding. CoRR abs/1708.00133 (2017) - 2016
- [i8]Karthik Narasimhan, Adam Yala, Regina Barzilay:
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. CoRR abs/1603.07954 (2016) - [i7]Kayhan N. Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, Samuel Gershman:
Nonparametric Spherical Topic Modeling with Word Embeddings. CoRR abs/1604.00126 (2016) - [i6]Tejas D. Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Joshua B. Tenenbaum:
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation. CoRR abs/1604.06057 (2016) - [i5]Yewen Pu, Karthik Narasimhan, Armando Solar-Lezama, Regina Barzilay:
sk_p: a neural program corrector for MOOCs. CoRR abs/1607.02902 (2016) - [i4]Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay:
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge. CoRR abs/1608.03000 (2016) - 2015
- [i3]Jonathan H. Huggins, Karthik Narasimhan, Ardavan Saeedi, Vikash K. Mansinghka:
JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes. CoRR abs/1503.00332 (2015) - [i2]Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola:
An Unsupervised Method for Uncovering Morphological Chains. CoRR abs/1503.02335 (2015) - [i1]Karthik Narasimhan, Tejas D. Kulkarni, Regina Barzilay:
Language Understanding for Text-based Games Using Deep Reinforcement Learning. CoRR abs/1506.08941 (2015)
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-14 01:13 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
