Federated Offline Policy Optimization with Dual Regularization

24 May 2024

Papers citing "Federated Offline Policy Optimization with Dual Regularization"

7 / 7 papers shown

Title
Federated Ensemble-Directed Offline Reinforcement Learning Desik Rengarajan N. Ragothaman D. Kalathil S. Shakkottai OffRL 76 1 0 04 May 2023
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 104 1,780 0 08 Jun 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 181 1,338 0 15 Apr 2020
Federated Reinforcement Distillation with Proxy Experience Memory Han Cha Jihong Park Hyesung Kim Seong-Lyun Kim M. Bennis 56 16 0 15 Jul 2019
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 243 18,685 0 20 Jul 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 234 17,328 0 17 Feb 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 210 13,174 0 09 Sep 2015