Learning Continuous Control Policies by Stochastic Value Gradients

30 October 2015

David Silver

Papers citing "Learning Continuous Control Policies by Stochastic Value Gradients"

50 / 329 papers shown

Title
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 21 17 0 11 Aug 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 36 47 0 30 Jun 2020
Critic Regularized Regression Ziyun Wang Alexander Novikov Konrad Zolna Jost Tobias Springenberg Scott E. Reed ... Noah Y. Siegel J. Merel Çağlar Gülçehre N. Heess Nando de Freitas OffRL 36 319 0 26 Jun 2020
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 36 9 0 26 Jun 2020
Experience Replay with Likelihood-free Importance Weights Samarth Sinha Jiaming Song Animesh Garg Stefano Ermon OffRL 30 55 0 23 Jun 2020
Aligning Time Series on Incomparable Spaces Samuel N. Cohen Giulia Luise Alexander Terenin Brandon Amos M. Deisenroth OT AI4TS 22 16 0 22 Jun 2020
dm_control: Software and Tasks for Continuous Control Yuval Tassa S. Tunyasuvunakool Alistair Muldal Yotam Doron Piotr Trochim ... Steven Bohez J. Merel Tom Erez Timothy Lillicrap N. Heess LM&Ro 42 397 0 22 Jun 2020
Model Embedding Model-Based Reinforcement Learning Xiao Tan Chao Qu Junwu Xiong James Y. Zhang OffRL 16 0 0 16 Jun 2020
GO Hessian for Expectation-Based Objectives Yulai Cong Miaoyun Zhao Jianqiao Li Junya Chen Lawrence Carin 25 0 0 16 Jun 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 33 82 0 15 Jun 2020
Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach Guannan Qu Chenkai Yu S. Low Adam Wierman 22 19 0 12 Jun 2020
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization T. Matsushima Hiroki Furuta Y. Matsuo Ofir Nachum S. Gu OffRL 25 147 0 05 Jun 2020
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes Junhong Xu Kai-Li Yin Lantao Liu OffRL 6 3 0 03 Jun 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 44 87 0 16 May 2020
Simple Sensor Intentions for Exploration Tim Hertweck Martin Riedmiller Michael Bloesch Jost Tobias Springenberg Noah Y. Siegel Markus Wulfmeier Roland Hafner N. Heess 17 10 0 15 May 2020
A Distributional View on Multi-Objective Policy Optimization A. Abdolmaleki Sandy H. Huang Leonard Hasenclever Michael Neunert H. F. Song Martina Zambelli M. Martins N. Heess R. Hadsell Martin Riedmiller 26 74 0 15 May 2020
Continuous Multiagent Control using Collective Behavior Entropy for Large-Scale Home Energy Management Jianwen Sun Yan Zheng Jianye Hao Zhaopeng Meng Yang Liu 13 14 0 14 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 343 1,968 0 04 May 2020
DSAC: Distributional Soft Actor Critic for Risk-Sensitive Reinforcement Learning Xiaoteng Ma Li Xia Zhengyuan Zhou Jun Yang Qianchuan Zhao 32 17 0 30 Apr 2020
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization P. DÓro Wojciech Ja'skowski OffRL 30 27 0 29 Apr 2020
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation Xiaocong Chen Chaoran Huang Lina Yao Xianzhi Wang Wei Liu Wenjie Zhang 20 35 0 17 Apr 2020
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics Amir H. Mosavi Pedram Ghamisi Yaser Faghan Puhong Duan OffRL 27 152 0 21 Mar 2020
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 39 37 0 19 Mar 2020
Contextual Policy Transfer in Reinforcement Learning Domains via Deep Mixtures-of-Experts Michael Gimelfarb Scott Sanner Chi-Guhn Lee 13 1 0 29 Feb 2020
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning Noah Y. Siegel Jost Tobias Springenberg Felix Berkenkamp A. Abdolmaleki Michael Neunert Thomas Lampe Roland Hafner Nicolas Heess Martin Riedmiller OffRL 22 282 0 19 Feb 2020
Causally Correct Partial Models for Reinforcement Learning Danilo Jimenez Rezende Ivo Danihelka George Papamakarios Nan Rosemary Ke Ray Jiang ... Jane X. Wang Jovana Mitrović F. Besse Ioannis Antonoglou Lars Buesing AI4TS 24 32 0 07 Feb 2020
Dynamic Energy Dispatch Based on Deep Reinforcement Learning in IoT-Driven Smart Isolated Microgrids Lei Lei Yue Tan Glenn Dahlenburg W. Xiang K. Zheng 21 68 0 07 Feb 2020
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics Michael Neunert A. Abdolmaleki Markus Wulfmeier Thomas Lampe Jost Tobias Springenberg Roland Hafner Francesco Romano J. Buchli N. Heess Martin Riedmiller 21 91 0 02 Jan 2020
The Gambler's Problem and Beyond Baoxiang Wang Shuai Li Jiajin Li S. Chan 11 0 0 31 Dec 2019
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework Wanxin Jin Zhaoran Wang Zhuoran Yang Shaoshuai Mou 30 77 0 30 Dec 2019
Quasi-Newton Trust Region Policy Optimization Devesh K. Jha A. Raghunathan Diego Romeres 17 8 0 26 Dec 2019
Direct and indirect reinforcement learning Yang Guan Shengbo Eben Li Jingliang Duan Jie Li Yangang Ren Qi Sun B. Cheng OffRL 38 34 0 23 Dec 2019
Centralized Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization Yang Guan Yangang Ren Shengbo Eben Li Qi Sun Laiquan Luo Keqiang Li 6 6 0 18 Dec 2019
Hindsight Credit Assignment Anna Harutyunyan Will Dabney Thomas Mesnard M. G. Azar Bilal Piot ... H. V. Hasselt Greg Wayne Satinder Singh Doina Precup Rémi Munos 27 72 0 05 Dec 2019
Visual Reaction: Learning to Play Catch with Your Drone Kuo-Hao Zeng Roozbeh Mottaghi Luca Weihs Ali Farhadi 21 14 0 04 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 37 1,313 0 03 Dec 2019
Adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints Jingliang Duan Zhengyu Liu Shengbo Eben Li Qi Sun Zhenzhong Jia B. Cheng 23 64 0 26 Nov 2019
From Persistent Homology to Reinforcement Learning with Applications for Retail Banking Jérémy Charlier 11 1 0 23 Nov 2019
Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks Vibhavari Dasagi Robert Lee Jake Bruce Jurgen Leitner OffRL 23 2 0 20 Nov 2019
Planning with Goal-Conditioned Policies Soroush Nasiriany Vitchyr H. Pong Steven Lin Sergey Levine OffRL 81 216 0 19 Nov 2019
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient K. Luck Mel Vecerík Simon Stepputtis H. B. Amor Jonathan Scholz 14 9 0 15 Nov 2019
Real-Time Reinforcement Learning Simon Ramstedt C. Pal AI4CE 19 62 0 11 Nov 2019
Better Exploration with Optimistic Actor-Critic K. Ciosek Q. Vuong R. Loftin Katja Hofmann 29 149 0 28 Oct 2019
Asynchronous Methods for Model-Based Reinforcement Learning Yunzhi Zhang I. Clavera Bo-Yu Tsai Pieter Abbeel OffRL 19 27 0 28 Oct 2019
OffWorld Gym: open-access physical robotics environment for real-world reinforcement learning benchmark and research Ashish Kumar Toby Buckley John B. Lanier Qiaozhi Wang A. Kavelaars Ilya Kuzovkin OffRL 19 14 0 18 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 17 41 0 09 Oct 2019
If MaxEnt RL is the Answer, What is the Question? Benjamin Eysenbach Sergey Levine 33 58 0 04 Oct 2019
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control H. F. Song A. Abdolmaleki Jost Tobias Springenberg Aidan Clark Hubert Soyer ... Dhruva Tirumala N. Heess Dan Belov Martin Riedmiller M. Botvinick 37 121 0 26 Sep 2019
Constrained Attractor Selection Using Deep Reinforcement Learning Xue-She Wang J. Turner B. Mann 11 35 0 23 Sep 2019
Gradient-Aware Model-based Policy Search P. DÓro Alberto Maria Metelli Andrea Tirinzoni Matteo Papini Marcello Restelli 29 34 0 09 Sep 2019