Publications tagged "Bounded RL"
Conferences
A Variational Neural Network Model of Resource-Rational Reward Encoding in Human Planning
Zhuojun Ying, Frederick Callaway, Roy Fox, Anastasia Kiyonaga, and Marcelo Mattar
47th Annual Meeting of the Cognitive Science Society (CogSci), 2025
Workshops
EMAgnet: Parameter-Space EMA Regularization for Policy Gradient Self-Play in Large Games
Tristan Maidment, JB Lanier, Chase McDonald, Nathan Tsang, Eugene Vinitsky, Roy Fox, Albert Wang, and Wesley Kerr
New Frontiers in Game-Theoretic Learning workshop (NExT-Game @ ICML), 2026
Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates
Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, and Roy Fox
Deep Reinforcement Learning workshop (DRL @ NeurIPS), 2021
Target Entropy Annealing for Discrete Soft Actor–Critic
Yaosheng Xu, Dailin Hu, Litian Liang, Stephen McAleer, Pieter Abbeel, and Roy Fox
Deep Reinforcement Learning workshop (DRL @ NeurIPS), 2021





