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
Principled Option Learning in Markov Decision Processes
Roy Fox*, Michal Moshkovitz*, and Naftali Tishby
13th European Workshop on Reinforcement Learning (EWRL), 2016
Taming the Noise in Reinforcement Learning via Soft Updates
Roy Fox*, Ari Pakman*, and Naftali Tishby
32nd Conference on Uncertainty in Artificial Intelligence (UAI), 2016
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












