Publications tagged "Bounded RL"


Conferences

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