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ORCIDAbhinav Verma 0001
Person information
- affiliation: Pennsylvania State University, USA
- affiliation (former): University of Texas at Austin, USA
Other persons with the same name
- Abhinav Verma — disambiguation page
- Abhinav Verma 0002
![[0000-0002-8349-8697]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8349-8697")
— Indian Institute of Technology Bombay, Mumbai, India - Abhinav Verma 0003 — Karlsruhe Institute of Technology, Karlsruhe, Germany
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2020 – today
- 2026
[c13]Tanmay Ambadkar, Darshan Chudiwal, Greg Anderson, Abhinav Verma:
Robust Adaptive Multi-Step Predictive Shielding (Student Abstract). AAAI 2026: 41121-41123- [c12]Tanmay Ambadkar, Darshan Chudiwal, Greg Anderson, Abhinav Verma:
Robust Adaptive Multi-Step Predictive Shielding. ICLR 2026 - [c11]Tanmay Ambadkar, Djordje Zikelic, Abhinav Verma:
Automating the Refinement of Reinforcement Learning Specifications. ICLR 2026 - [c10]Tanmay Ambadkar, Darshan Chudiwal, Greg Anderson, Abhinav Verma:
Safer Policies via Affine Representations Using Koopman Dynamics. 2026: 334-355 - [i12]Tanmay Ambadkar, Sourav Panda, Shreyash Kale, Jonathan Dodge, Abhinav Verma:
Preference Conditioned Multi-Objective Reinforcement Learning: Decomposed, Diversity-Driven Policy Optimization. CoRR abs/2602.07764 (2026) - [i11]Sourav Panda, Shreyash Kale, Tanmay Ambadkar, Abhinav Verma, Jonathan Dodge:
Scaling Strategy, Not Compute: A Stand-Alone, Open-Source StarCraft II Benchmark for Accessible Reinforcement Learning Research. CoRR abs/2603.06608 (2026) - 2025
- [j1]Ameesh Shah, Cameron Voloshin, Chenxi Yang, Abhinav Verma, Swarat Chaudhuri, Sanjit A. Seshia:
LTL-Constrained Policy Optimization with Cycle Experience Replay. Trans. Mach. Learn. Res. 2025 (2025) - [d2]Matin Ansaripour, Krishnendu Chatterjee, Thomas A. Henzinger, Mathias Lechner, Abhinav Verma, Dorde Zikelic:
NeuralStoc: A Tool for Neural Stochastic Control and Verification. Version 0.1.0. Zenodo, 2025 [all versions]
- [d1]Matin Ansaripour, Krishnendu Chatterjee, Thomas A. Henzinger, Mathias Lechner, Abhinav Verma, Dorde Zikelic:
NeuralStoc: A Tool for Neural Stochastic Control and Verification. Version 2. Zenodo, 2025 [all versions] - [i10]Tanmay Ambadkar, Dorde Zikelic, Abhinav Verma:
Automating the Refinement of Reinforcement Learning Specifications. CoRR abs/2512.01047 (2025) - 2024
- [i9]Ameesh Shah, Cameron Voloshin, Chenxi Yang, Abhinav Verma, Swarat Chaudhuri, Sanjit A. Seshia:
Deep Policy Optimization with Temporal Logic Constraints. CoRR abs/2404.11578 (2024) - 2023
- [c9]Cameron Voloshin, Abhinav Verma, Yisong Yue:
Eventual Discounting Temporal Logic Counterfactual Experience Replay. ICML 2023: 35137-35150 - [c8]Dorde Zikelic, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee, Thomas A. Henzinger:
Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees. NeurIPS 2023 - [i8]Cameron Voloshin, Abhinav Verma, Yisong Yue:
Eventual Discounting Temporal Logic Counterfactual Experience Replay. CoRR abs/2303.02135 (2023) - [i7]Dorde Zikelic, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee, Thomas A. Henzinger:
Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees. CoRR abs/2312.01456 (2023) - 2020
- [c7]Greg Anderson, Abhinav Verma, Isil Dillig, Swarat Chaudhuri:
Neurosymbolic Reinforcement Learning with Formally Verified Exploration. NeurIPS 2020 - [c6]Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri:
Learning Differentiable Programs with Admissible Neural Heuristics. NeurIPS 2020 - [i6]Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri:
Learning Differentiable Programs with Admissible Neural Heuristics. CoRR abs/2007.12101 (2020) - [i5]Greg Anderson, Abhinav Verma, Isil Dillig, Swarat Chaudhuri:
Neurosymbolic Reinforcement Learning with Formally Verified Exploration. CoRR abs/2009.12612 (2020)
2010 – 2019
- 2019
- [c5]Abhinav Verma:
Verifiable and Interpretable Reinforcement Learning through Program Synthesis. AAAI 2019: 9902-9903 - [c4]Joshua J. Michalenko, Ameesh Shah, Abhinav Verma, Richard G. Baraniuk, Swarat Chaudhuri, Ankit B. Patel:
Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks. ICLR (Poster) 2019 - [c3]Richard Cheng, Abhinav Verma, Gábor Orosz, Swarat Chaudhuri, Yisong Yue, Joel Burdick:
Control Regularization for Reduced Variance Reinforcement Learning. ICML 2019: 1141-1150 - [c2]Abhinav Verma, Hoang Minh Le, Yisong Yue, Swarat Chaudhuri:
Imitation-Projected Programmatic Reinforcement Learning. NeurIPS 2019: 15726-15737 - [i4]Joshua J. Michalenko, Ameesh Shah, Abhinav Verma, Richard G. Baraniuk, Swarat Chaudhuri, Ankit B. Patel:
Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks. CoRR abs/1902.10297 (2019) - [i3]Richard Cheng, Abhinav Verma, Gábor Orosz, Swarat Chaudhuri, Yisong Yue, Joel W. Burdick:
Control Regularization for Reduced Variance Reinforcement Learning. CoRR abs/1905.05380 (2019) - [i2]Abhinav Verma, Hoang Minh Le, Yisong Yue, Swarat Chaudhuri:
Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning. CoRR abs/1907.05431 (2019) - 2018
- [c1]Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh, Pushmeet Kohli, Swarat Chaudhuri:
Programmatically Interpretable Reinforcement Learning. ICML 2018: 5052-5061 - [i1]Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh, Pushmeet Kohli, Swarat Chaudhuri:
Programmatically Interpretable Reinforcement Learning. CoRR abs/1804.02477 (2018)
Coauthor Index
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last updated on 2026-10-07 22:04 CEST by the dblp team
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