Singh, Satinder
10 papers on CoChatORCID 0000-0002-2736-7641
Most cited papers
- Verified
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
Sutton, R. S., Precup, D., & Singh, S. (1999) · Artificial Intelligence
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 3,119
- Verified
Reward is enough
Silver, D., Singh, S., Precup, D., & Sutton, R. S. (2021) · Artificial Intelligence
Reinforcement Learning in RoboticsPsychiatry, Mental Health, Neuroscience
Cited by 445
- Verified
Repeated Inverse Reinforcement Learning
Amin, K., Jiang, N., & Singh, S. (2017) · arXiv
Reinforcement Learning in RoboticsMachine Learning and Algorithms
Cited by 40
- Verified
A Definition of Continual Reinforcement Learning
Abel, D., Barreto, A., Roy, B. V., Precup, D., Hasselt, H. V., & Singh, S. (2023) · Advances in Neural Information Processing Systems 36
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 36
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A Definition of Continual Reinforcement Learning
Abel, D., Barreto, A., Van Roy, B., Precup, D., van Hasselt, H., & Singh, S. (2023) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 36
- Verified
Genie: Generative Interactive Environments
Bruce, J., Dennis, M., Edwards, A., Parker-Holder, J., Shi, Y., Hughes, E., Lai, M., Mavalankar, A., Steigerwald, R., Apps, C., et al. (2024) · arXiv
Reinforcement Learning in RoboticsGenerative Adversarial Networks and Image Synthesis
Cited by 23
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In-context Reinforcement Learning with Algorithm Distillation
Laskin, M., Wang, L., Oh, J., Parisotto, E., Spencer, S., Steigerwald, R., Strouse, D., Hansen, S., Filos, A., Brooks, E., et al. (2022) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 14
- Verified
Towards Resolving Unidentifiability in Inverse Reinforcement Learning
Amin, K., & Singh, S. (2016) · arXiv
Reinforcement Learning in RoboticsMachine Learning and Algorithms
Cited by 13
- Verified · note
Large Language Models can Implement Policy Iteration
Brooks, E., Walls, L., Lewis, R. L., & Singh, S. (2022) · arXiv
Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control
Cited by 9
- Verified
Agency Is Frame-Dependent
Abel, D., Barreto, A., Bowling, M., Dabney, W., Dong, S., Hansen, S., Harutyunyan, A., Khetarpal, K., Lyle, C., Pascanu, R., et al. (2025) · arXiv
Philosophy of Biology and Scientific ExplanationEmbodied and Extended Cognition
Cited by 0
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