Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance

17 November 2021

Papers citing "Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance"

7 / 7 papers shown

Title
Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion Nico Bohlinger Jonathan Kinzel Daniel Palenicek Lukasz Antczak Jan Peters 46 1 0 11 Mar 2025
Mixture of Experts in a Mixture of RL settings Timon Willi J. Obando-Ceron Jakob Foerster Karolina Dziugaite Pablo Samuel Castro MoE 49 7 0 26 Jun 2024
The Curse of Diversity in Ensemble-Based Exploration Zhixuan Lin P. DÓro Evgenii Nikishin Rameswar Panda 42 1 0 07 May 2024
AFU: Actor-Free critic Updates in off-policy RL for continuous control Nicolas Perrin-Gilbert OffRL 32 0 0 24 Apr 2024
RL-X: A Deep Reinforcement Learning Library (not only) for RoboCup Nico Bohlinger Klaus Dorer 27 4 0 20 Oct 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 124 0 19 Jan 2023
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics Arsenii Kuznetsov Pavel Shvechikov Alexander Grishin Dmitry Vetrov 136 187 0 08 May 2020