Solving Continuous Control via Q-learning

Solving Continuous Control via Q-learning

22 October 2022

Wilko Schwarting

Igor Gilitschenski

Martin Riedmiller

Daniela Rus

Markus Wulfmeier

Papers citing "Solving Continuous Control via Q-learning"

16 / 16 papers shown

Title
Q-function Decomposition with Intervention Semantics with Factored Action Spaces Junkyu Lee Tian Gao Elliot Nelson Miao Liu D. Bhattacharjya Songtao Lu OffRL 45 0 0 30 Apr 2025
Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network Jijia Liu Feng Gao Q. Liao Chao Yu Yu-Xiang Wang OffRL 63 0 0 01 Feb 2025
An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces Alex Beeson David Ireland Giovanni Montana OffRL 32 0 0 17 Nov 2024
Learning in complex action spaces without policy gradients Arash Tavakoli Sina Ghiassian Nemanja Rakićević OffRL 18 0 0 08 Oct 2024
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning Yuanyang Zhu Zhi Wang Yuanheng Zhu Chunlin Chen Dongbin Zhao 11 0 0 01 Aug 2024
Green Screen Augmentation Enables Scene Generalisation in Robotic Manipulation Eugene Teoh Sumit Patidar Xiao Ma Stephen James 24 5 0 10 Jul 2024
How to discretize continuous state-action spaces in Q-learning: A symbolic control approach S. B. Alaoui Adnane Saoud OffRL 19 0 0 03 Jun 2024
Stochastic Q-learning for Large Discrete Action Spaces Fares Fourati Vaneet Aggarwal Mohamed-Slim Alouini OffRL 21 0 0 16 May 2024
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution Tim Seyde Peter Werner Wilko Schwarting Markus Wulfmeier Daniela Rus OffRL 16 4 0 05 Apr 2024
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes David Ireland Giovanni Montana 27 3 0 16 Jan 2024
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning Dianyu Zhong Yiqin Yang Qianchuan Zhao 15 6 0 11 Dec 2023
A Statistical Guarantee for Representation Transfer in Multitask Imitation Learning Bryan Chan Karime Pereida James Bergstra 27 1 0 02 Nov 2023
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning Jianlan Luo Perry Dong Jeffrey Wu Aviral Kumar Xinyang Geng Sergey Levine OffRL 12 18 0 18 Oct 2023
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning N. Rudin David Hoeller Philipp Reist Marco Hutter 108 535 0 24 Sep 2021
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 57 82 0 24 Jul 2020
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip H. S. Torr Pushmeet Kohli Shimon Whiteson OffRL 109 592 0 28 Feb 2017