Autoregressive Policies for Continuous Control Deep Reinforcement Learning

27 March 2019

Papers citing "Autoregressive Policies for Continuous Control Deep Reinforcement Learning"

21 / 21 papers shown

Title
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning G. Vasan Yan Wang Fahim Shahriar James Bergstra Martin Jägersand A. R. Mahmood 27 2 0 29 Jun 2024
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning Zhaoyi Zhou Chuning Zhu Runlong Zhou Qiwen Cui Abhishek Gupta S. S. Du OffRL 40 8 0 30 Oct 2023
Offline Reinforcement Learning for Optimizing Production Bidding Policies D. Korenkevych Frank Cheng Artsiom Balakir Alex Nikulkov Lingnan Gao Zhihao Cen Zuobing Xu Zheqing Zhu OffRL 22 1 0 13 Oct 2023
Image-based Regularization for Action Smoothness in Autonomous Miniature Racing Car with Deep Reinforcement Learning Hoang-Giang Cao I. Lee Bo-Jiun Hsu Zheng-Yi Lee Yu-Wei Shih Hsueh-Cheng Wang I-Chen Wu 27 2 0 17 Jul 2023
Latent Exploration for Reinforcement Learning A. Chiappa Alessandro Marin Vargas Ann Zixiang Huang Alexander Mathis 24 13 0 31 May 2023
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes Joe Watson Jan Peters 26 15 0 07 Oct 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang Wei-ping Xu Haonan Yu 32 10 0 24 Jan 2022
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods Seohong Park Jaekyeom Kim Gunhee Kim 30 23 0 06 Nov 2021
Generative Actor-Critic: An Off-policy Algorithm Using the Push-forward Model Lingwei Peng Hui Qian Zhebang Shen Chao Zhang Fei Li 14 2 0 08 May 2021
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation Niklas Funk Charles B. Schaff Rishabh Madan Takuma Yoneda Julen Urain De Jesus ... Stefan Bauer S. Srinivasa T. Bhattacharjee Matthew R. Walter Jan Peters 24 35 0 05 May 2021
Generalising Discrete Action Spaces with Conditional Action Trees Christopher Bamford Alvaro Ovalle 11 8 0 15 Apr 2021
ACERAC: Efficient reinforcement learning in fine time discretization Jakub Łyskawa Pawel Wawrzyñski 8 2 0 08 Apr 2021
Addressing Action Oscillations through Learning Policy Inertia Cheng Chen Hongyao Tang Jianye Hao Wulong Liu Zhaopeng Meng 26 18 0 03 Mar 2021
Deep Reinforcement Learning for Haptic Shared Control in Unknown Tasks F. Fernández W. Caarls 9 3 0 15 Jan 2021
Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning Marcin J. Skwark Nicolás López Carranza Thomas Pierrot Joe Phillips Slim Said Alexandre Laterre Amine Kerkeni Uugur cSahin Karim Beguir 11 4 0 03 Dec 2020
Detecting Rewards Deterioration in Episodic Reinforcement Learning Ido Greenberg Shie Mannor OffRL 6 13 0 22 Oct 2020
A framework for reinforcement learning with autocorrelated actions M. Szulc Jakub Lyskawa Pawel Wawrzyñski 8 2 0 10 Sep 2020
Inverse Policy Evaluation for Value-based Sequential Decision-making Alan Chan Kristopher De Asis R. Sutton OffRL 19 1 0 26 Aug 2020
LEAF: Latent Exploration Along the Frontier Homanga Bharadhwaj Animesh Garg Florian Shkurti 24 1 0 21 May 2020
Smooth Exploration for Robotic Reinforcement Learning Antonin Raffin Jens Kober F. Stulp 32 57 0 12 May 2020
Distributional Policy Optimization: An Alternative Approach for Continuous Control Chen Tessler Guy Tennenholtz Shie Mannor OffRL 11 44 0 23 May 2019