Stephen Chung

According to our database, Stephen Chung authored at least 17 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Thinker: Learning to Think Fast and Slow.

Stephen Chung, Wenyu Du, Jie Fu

CoRR, May, 2025

Learning from Peers in Reasoning Models.

Tongxu Luo, Wenyu Du, Jiaxi Bi, Stephen Chung, Zhengyang Tang, Hao Yang, Min Zhang, Benyou Wang

CoRR, May, 2025

Learning from Failures in Multi-Attempt Reinforcement Learning.

Stephen Chung, Wenyu Du, Jie Fu

CoRR, March, 2025

Best Practices for Phase Noise Simulations of Free Running Ring Oscillators for Crystal-Free Narrowband FSK Communication Systems.

Haziq Rohail, Stephen Chung, Titan Yuan, David C. Burnett

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Interpreting Emergent Planning in Model-Free Reinforcement Learning.

Thomas Bush, Stephen Chung, Usman Anwar, Adrià Garriga-Alonso, David Krueger

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Handling Delay in Real-Time Reinforcement Learning.

Ivan Anokhin, Rishav Rishav, Matthew Riemer, Stephen Chung, Irina Rish, Samira Ebrahimi Kahou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Predicting Future Actions of Reinforcement Learning Agents.

Stephen Chung, Scott Niekum, David Krueger

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Unbiased Weight Maximization.

Stephen Chung

CoRR, 2023

Structural Credit Assignment with Coordinated Exploration.

Stephen Chung

CoRR, 2023

Thinker: Learning to Plan and Act.

Stephen Chung, Ivan Anokhin, David Krueger

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Domain Generalization for Robust Model-Based Offline Reinforcement Learning.

Alan Clark, Shoaib Ahmed Siddiqui, Robert Kirk, Usman Anwar, Stephen Chung, David Krueger

CoRR, 2022

Learning by Competition of Self-Interested Reinforcement Learning Agents.

Stephen Chung

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Turing Completeness of Bounded-Precision Recurrent Neural Networks.

Stephen Chung, Hava T. Siegelmann

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents.

Stephen Chung

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Every Hidden Unit Maximizing Output Weights Maximizes The Global Reward.

Stephen Chung

CoRR, 2020

An Alternative to Backpropagation in Deep Reinforcement Learning.

Stephen Chung

CoRR, 2020

Reinforcement Learning with Feedback-modulated TD-STDP.

Stephen Chung, Robert Kozma

CoRR, 2020