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Stephen Chung
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2020 – today
- 2025
- [c7]Ivan Anokhin, Rishav Rishav, Matthew Riemer, Stephen Chung, Irina Rish, Samira Ebrahimi Kahou:
Handling Delay in Real-Time Reinforcement Learning. ICLR 2025 - [c6]Thomas Bush, Stephen Chung, Usman Anwar, Adrià Garriga-Alonso, David Krueger:
Interpreting Emergent Planning in Model-Free Reinforcement Learning. ICLR 2025 - [i11]Stephen Chung, Wenyu Du, Jie Fu:
Learning from Failures in Multi-Attempt Reinforcement Learning. CoRR abs/2503.04808 (2025) - [i10]Ivan Anokhin, Rishav Rishav, Matthew Riemer, Stephen Chung, Irina Rish, Samira Ebrahimi Kahou:
Handling Delay in Real-Time Reinforcement Learning. CoRR abs/2503.23478 (2025) - [i9]Thomas Bush, Stephen Chung, Usman Anwar, Adrià Garriga-Alonso, David Krueger:
Interpreting Emergent Planning in Model-Free Reinforcement Learning. CoRR abs/2504.01871 (2025) - 2024
- [c5]Stephen Chung, Scott Niekum, David Krueger:
Predicting Future Actions of Reinforcement Learning Agents. NeurIPS 2024 - [i8]Stephen Chung, Scott Niekum, David Krueger:
Predicting Future Actions of Reinforcement Learning Agents. CoRR abs/2410.22459 (2024) - 2023
- [c4]Stephen Chung, Ivan Anokhin, David Krueger:
Thinker: Learning to Plan and Act. NeurIPS 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
- [c3]Stephen Chung:
Learning by Competition of Self-Interested Reinforcement Learning Agents. AAAI 2022: 6384-6393 - [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) - 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 - 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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