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Benchmarking Deep Reinforcement Learning for Continuous Control

22 April 2016

Pieter Abbeel

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Papers citing "Benchmarking Deep Reinforcement Learning for Continuous Control"

30 / 30 papers shown

Title
Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments Licheng Luo Mingyu Cai 87 0 0 09 Apr 2025
An Efficient Approach for Cooperative Multi-Agent Learning Problems Ángel Aso-Mollar Eva Onaindia 68 0 0 07 Apr 2025
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Xuyang Li Romit Maulik 112 0 0 21 Feb 2025
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic Huaiyuan Yao Longchao Da Vishnu Nandam Justin Turnau Zhiwei Liu Linsey Pang Hua Wei LLMAG 125 6 0 10 Jan 2025
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications Sinan Ibrahim Mostafa Mostafa Ali Jnadi Hadi Salloum Pavel Osinenko OffRL 107 17 0 31 Dec 2024
Broad Critic Deep Actor Reinforcement Learning for Continuous Control Shiron Thalagala Pak Kin Wong Xiaozheng Wang Tianang Sun OffRL 169 0 0 24 Nov 2024
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control Ehsan Futuhi Shayan Karimi Chao Gao Martin Müller 73 1 0 07 Oct 2024
Robust Offline Imitation Learning from Diverse Auxiliary Data Udita Ghosh Dripta S. Raychaudhuri Jiachen Li Konstantinos Karydis Amit K. Roy-Chowdhury OffRL 88 1 0 04 Oct 2024
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front Ruohong Liu Yuxin Pan Linjie Xu Lei Song Jiang Bian Pengcheng You Yize Chen 75 2 0 03 Oct 2024
Domain Adaptation for Offline Reinforcement Learning with Limited Samples Weiqin Chen Sandipan Mishra Santiago Paternain OffRL 89 2 0 22 Aug 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model Zhehua Zhou Xuan Xie Jiayang Song Zhan Shu Lei Ma 91 1 0 06 Jun 2024
I-CTRL: Imitation to Control Humanoid Robots Through Constrained Reinforcement Learning Yashuai Yan Esteve Valls Mascaro Tobias Egle Dongheui Lee 72 5 0 14 May 2024
Behind the Myth of Exploration in Policy Gradients Adrien Bolland Gaspard Lambrechts Damien Ernst 89 0 0 31 Jan 2024
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 110 0 0 04 Feb 2023
q-Learning in Continuous Time Yanwei Jia X. Zhou OffRL 101 77 0 02 Jul 2022
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 182 282 0 15 Aug 2020
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning Joshua Achiam S. Shankar Sastry 71 238 0 06 Mar 2017
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning Justin Fu John D. Co-Reyes Sergey Levine OffRL 60 155 0 03 Mar 2017
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction Wen Sun Arun Venkatraman Geoffrey J. Gordon Byron Boots J. Andrew Bagnell 132 235 0 03 Mar 2017
Learning Control for Air Hockey Striking using Deep Reinforcement Learning Ayal Taitler N. Shimkin 55 10 0 26 Feb 2017
Agent-Agnostic Human-in-the-Loop Reinforcement Learning David Abel J. Salvatier Andreas Stuhlmuller Owain Evans 77 62 0 15 Jan 2017
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation L. Tai Jingwei Zhang Ming-Yuan Liu Joschka Boedecker Wolfram Burgard OffRL 105 78 0 21 Dec 2016
Memory-based control with recurrent neural networks N. Heess Jonathan J. Hunt Timothy Lillicrap David Silver 86 303 0 14 Dec 2015
Learning Continuous Control Policies by Stochastic Value Gradients N. Heess Greg Wayne David Silver Timothy Lillicrap Yuval Tassa Tom Erez 97 560 0 30 Oct 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 325 13,286 0 09 Sep 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 85 847 0 24 Jun 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 123 3,438 0 08 Jun 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 315 3,443 0 02 Apr 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,796 0 19 Feb 2015
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 120 3,020 0 19 Jul 2012