Stephen Chung

According to our database, Stephen Chung authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Predicting Future Actions of Reinforcement Learning Agents.

Stephen Chung, Scott Niekum, David Krueger

CoRR, 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