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Conference and Workshop Papers
- 2023
[c4]Stephen Chung, Ivan Anokhin, David Krueger:
Thinker: Learning to Plan and Act. NeurIPS 2023- 2022
- [c3]Stephen Chung:
Learning by Competition of Self-Interested Reinforcement Learning Agents. AAAI 2022: 6384-6393 - 2021
- [c2]Stephen Chung:
MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents. NeurIPS 2021: 14734-14744 - [c1]Stephen Chung, Hava T. Siegelmann:
Turing Completeness of Bounded-Precision Recurrent Neural Networks. NeurIPS 2021: 28431-28441
Informal and Other Publications
- 2023
- [i7]Stephen Chung:
Structural Credit Assignment with Coordinated Exploration. CoRR abs/2307.13256 (2023) - [i6]Stephen Chung:
Unbiased Weight Maximization. CoRR abs/2307.13270 (2023) - [i5]Stephen Chung, Ivan Anokhin, David Krueger:
Thinker: Learning to Plan and Act. CoRR abs/2307.14993 (2023) - 2022
- [i4]Alan Clark, Shoaib Ahmed Siddiqui, Robert Kirk, Usman Anwar, Stephen Chung, David Krueger:
Domain Generalization for Robust Model-Based Offline Reinforcement Learning. CoRR abs/2211.14827 (2022) - 2020
- [i3]Stephen Chung, Robert Kozma:
Reinforcement Learning with Feedback-modulated TD-STDP. CoRR abs/2008.13044 (2020) - [i2]Stephen Chung:
An Alternative to Backpropagation in Deep Reinforcement Learning. CoRR abs/2010.07893 (2020) - [i1]Stephen Chung:
Every Hidden Unit Maximizing Output Weights Maximizes The Global Reward. CoRR abs/2010.09770 (2020)
Coauthor Index
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