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

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


Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning

Dailin Hu, 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



Theses


Preprints