Adish Singla

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Rati Devidze

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Publications

2024
[i78]
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  - journals/corr/abs-2402-07019
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Rati Devidze, Parameswaran Kamalaruban, Adish Singla:
Informativeness of Reward Functions in Reinforcement Learning. CoRR abs/2402.07019 (2024)
2022
[c63]
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  - conf/nips/DevidzeKS22
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Rati Devidze, Parameswaran Kamalaruban, Adish Singla:
Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards. NeurIPS 2022
2021
[j2]
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  - journals/jmlr/RakhshaRDZS21
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Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla:
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks. J. Mach. Learn. Res. 22: 210:1-210:45 (2021)
[c56]
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  - conf/nips/YengeraDKS21
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Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla:
Curriculum Design for Teaching via Demonstrations: Theory and Applications. NeurIPS 2021: 10496-10509
[c53]
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  - conf/nips/DevidzeRKS21
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Rati Devidze, Goran Radanovic, Parameswaran Kamalaruban, Adish Singla:
Explicable Reward Design for Reinforcement Learning Agents. NeurIPS 2021: 20118-20131
[i50]
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  - journals/corr/abs-2106-04696
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Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla:
Curriculum Design for Teaching via Demonstrations: Theory and Applications. CoRR abs/2106.04696 (2021)
2020
[c49]
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  - conf/icml/RakhshaRD0S20
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Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla:
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. ICML 2020: 7974-7984
[c47]
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  - conf/ijcai/DevidzeMH0S20
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Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla:
Understanding the Power and Limitations of Teaching with Imperfect Knowledge. IJCAI 2020: 2647-2654
[i42]
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  - journals/corr/abs-2003-09712
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Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla:
Understanding the Power and Limitations of Teaching with Imperfect Knowledge. CoRR abs/2003.09712 (2020)
[i40]
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  - journals/corr/abs-2003-12909
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Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla:
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. CoRR abs/2003.12909 (2020)
[i37]
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  - journals/corr/abs-2006-13160
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Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla:
Environment Shaping in Reinforcement Learning using State Abstraction. CoRR abs/2006.13160 (2020)
[i32]
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  - journals/corr/abs-2011-10824
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Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla:
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks. CoRR abs/2011.10824 (2020)
2019
[c41]
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  - conf/icml/RadanovicDPS19
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Goran Radanovic, Rati Devidze, David C. Parkes, Adish Singla:
Learning to Collaborate in Markov Decision Processes. ICML 2019: 5261-5270
[c39]
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  - conf/ijcai/KamalarubanDCS19
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Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla:
Interactive Teaching Algorithms for Inverse Reinforcement Learning. IJCAI 2019: 2692-2700
[c37]
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  - conf/nips/TschiatschekGHD19
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Sebastian Tschiatschek, Ahana Ghosh, Luis Haug, Rati Devidze, Adish Singla:
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints. NeurIPS 2019: 4147-4157
[i31]
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  - journals/corr/abs-1901-08029
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Goran Radanovic, Rati Devidze, David C. Parkes, Adish Singla:
Learning to Collaborate in Markov Decision Processes. CoRR abs/1901.08029 (2019)
[i27]
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  - journals/corr/abs-1905-11867
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Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla:
Interactive Teaching Algorithms for Inverse Reinforcement Learning. CoRR abs/1905.11867 (2019)
[i26]
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  - journals/corr/abs-1906-00429
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Sebastian Tschiatschek, Ahana Ghosh, Luis Haug, Rati Devidze, Adish Singla:
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints. CoRR abs/1906.00429 (2019)

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