Stephen Chung - RankMe

22 papers A* 7C 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Best Practices for Phase Noise Simulations of Free Running Ring Oscillators for Crystal-Free Narrowband FSK Communication Systems. ISCAS Haziq Rohail, Stephen Chung, Titan Yuan, David C. Burnett
2025	A*	`conf`	Handling Delay in Real-Time Reinforcement Learning. ICLR Ivan Anokhin, Rishav Rishav, Matthew Riemer, Stephen Chung, Irina Rish, Samira Ebrahimi Kahou
2025	J	`jnl`	Handling Delay in Real-Time Reinforcement Learning. CoRR Ivan Anokhin, Rishav Rishav, Matthew Riemer, Stephen Chung, Irina Rish, Samira Ebrahimi Kahou
2025	A*	`conf`	Interpreting Emergent Planning in Model-Free Reinforcement Learning. ICLR Thomas Bush, Stephen Chung, Usman Anwar, Adrià Garriga-Alonso, David Krueger
2025	J	`jnl`	Interpreting Emergent Planning in Model-Free Reinforcement Learning. CoRR Thomas Bush, Stephen Chung, Usman Anwar, Adrià Garriga-Alonso, David Krueger
2025	J	`jnl`	Learning from Failures in Multi-Attempt Reinforcement Learning. CoRR Stephen Chung, Wenyu Du, Jie Fu
2025	J	`jnl`	Learning from Peers in Reasoning Models. CoRR Tongxu Luo, Wenyu Du, Jiaxi Bi, Stephen Chung, Zhengyang Tang, Hao Yang, Min Zhang, Benyou Wang
2025	J	`jnl`	The Station: An Open-World Environment for AI-Driven Discovery. CoRR Stephen Chung, Wenyu Du
2025	J	`jnl`	Thinker: Learning to Think Fast and Slow. CoRR Stephen Chung, Wenyu Du, Jie Fu
2024	A*	`conf`	Predicting Future Actions of Reinforcement Learning Agents. NeurIPS Stephen Chung, Scott Niekum, David Krueger
2024	J	`jnl`	Predicting Future Actions of Reinforcement Learning Agents. CoRR Stephen Chung, Scott Niekum, David Krueger
2023	J	`jnl`	Structural Credit Assignment with Coordinated Exploration. CoRR Stephen Chung
2023	A*	`conf`	Thinker: Learning to Plan and Act. NeurIPS Stephen Chung, Ivan Anokhin, David Krueger
2023	J	`jnl`	Thinker: Learning to Plan and Act. CoRR Stephen Chung, Ivan Anokhin, David Krueger
2023	J	`jnl`	Unbiased Weight Maximization. CoRR Stephen Chung
2022	J	`jnl`	Domain Generalization for Robust Model-Based Offline Reinforcement Learning. CoRR Alan Clark, Shoaib Ahmed Siddiqui, Robert Kirk, Usman Anwar, Stephen Chung, David Krueger
2022	A*	`conf`	Learning by Competition of Self-Interested Reinforcement Learning Agents. AAAI Stephen Chung
2021	A*	`conf`	MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents. NeurIPS Stephen Chung
2021	A*	`conf`	Turing Completeness of Bounded-Precision Recurrent Neural Networks. NeurIPS Stephen Chung, Hava T. Siegelmann
2020	J	`jnl`	An Alternative to Backpropagation in Deep Reinforcement Learning. CoRR Stephen Chung
2020	J	`jnl`	Every Hidden Unit Maximizing Output Weights Maximizes The Global Reward. CoRR Stephen Chung
2020	J	`jnl`	Reinforcement Learning with Feedback-modulated TD-STDP. CoRR Stephen Chung, Robert Kozma