Learning Continuous Control Policies by Stochastic Value Gradients

30 October 2015

David Silver

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

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Title
Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains Jingwei Zhang Jost Tobias Springenberg Arunkumar Byravan Leonard Hasenclever A. Abdolmaleki Dushyant Rao N. Heess Martin Riedmiller 39 5 0 24 Feb 2023
Stochastic Generative Flow Networks L. Pan Dinghuai Zhang Moksh Jain Longbo Huang Yoshua Bengio BDL 49 31 0 19 Feb 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL Seohong Park Sergey Levine 24 9 0 08 Feb 2023
DiSProD: Differentiable Symbolic Propagation of Distributions for Planning Palash Chatterjee Ashutosh Chapagain Weizhe (Wesley) Chen Roni Khardon 11 1 0 03 Feb 2023
Extreme Q-Learning: MaxEnt RL without Entropy Divyansh Garg Joey Hejna M. Geist Stefano Ermon OffRL 41 66 0 05 Jan 2023
Latent Variable Representation for Reinforcement Learning Tongzheng Ren Chenjun Xiao Tianjun Zhang Na Li Zhaoran Wang Sujay Sanghavi Dale Schuurmans Bo Dai OffRL 33 10 0 17 Dec 2022
Physics-Informed Model-Based Reinforcement Learning Adithya Ramesh Balaraman Ravindran 27 10 0 05 Dec 2022
Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo Taylor A. Howell Nimrod Gileadi S. Tunyasuvunakool Kevin Zakka Tom Erez Yuval Tassa 30 76 0 01 Dec 2022
The Benefits of Model-Based Generalization in Reinforcement Learning K. Young Aditya A. Ramesh Louis Kirsch Jürgen Schmidhuber OffRL 28 12 0 04 Nov 2022
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation Siddharth Nayak Kenneth M. F. Choi Wenqi Ding Sydney I. Dolan Karthik Gopalakrishnan H. Balakrishnan 17 29 0 03 Nov 2022
Integrated Decision and Control for High-Level Automated Vehicles by Mixed Policy Gradient and Its Experiment Verification Yang Guan Liye Tang Chuanxiao Li Shengbo Eben Li Yangang Ren Junqing Wei Bo Zhang Ke Li 23 0 0 19 Oct 2022
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm Ashish Kumar Jayant S. Bhatnagar OffRL 21 38 0 14 Oct 2022
ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based Characters Heyuan Yao Zhenhua Song Bin Chen Libin Liu DRL VGen 16 41 0 12 Oct 2022
Training Efficient Controllers via Analytic Policy Gradient Nina Wiedemann Valentin Wüest Antonio Loquercio M. Müller Dario Floreano Davide Scaramuzza OffRL 28 18 0 26 Sep 2022
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective Raj Ghugare Homanga Bharadhwaj Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 48 25 0 18 Sep 2022
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning Shen Zhang 20 6 0 16 Sep 2022
A model-based approach to meta-Reinforcement Learning: Transformers and tree search Brieuc Pinon Jean-Charles Delvenne Raphaël Jungers OffRL 35 3 0 24 Aug 2022
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph Learning for Continuous Action Space Yining Chen Ke Wang Guang-hua Song Xiaohong Jiang 28 3 0 23 Aug 2022
Efficient Planning in a Compact Latent Action Space Zhengyao Jiang Tianjun Zhang Michael Janner Yueying Li Tim Rocktaschel Edward Grefenstette Yuandong Tian OffRL 24 37 0 22 Aug 2022
MPC-based Imitation Learning for Safe and Human-like Autonomous Driving F. S. Acerbo Jan Swevers Tinne Tuytelaars Tong Duy Son 16 0 0 24 Jun 2022
Auto-Encoding Adversarial Imitation Learning Kaifeng Zhang Rui Zhao Ziming Zhang Yang Gao 26 1 0 22 Jun 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 53 101 0 19 Jun 2022
Autonomous Platoon Control with Integrated Deep Reinforcement Learning and Dynamic Programming Tong Liu Lei Lei Kan Zheng Kuan Zhang 13 26 0 15 Jun 2022
Open-Ended Learning Strategies for Learning Complex Locomotion Skills Fangqin Zhou Joaquin Vanschoren 36 2 0 14 Jun 2022
Reinforcement Learning for Vision-based Object Manipulation with Non-parametric Policy and Action Primitives Dongwon Son Myungsin Kim Jaecheol Sim Wonsik Shin 24 1 0 12 Jun 2022
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud Siqiao Xue Chao Qu Xiaoming Shi Cong Liao Shiyi Zhu ... Yun Hu Lei Lei Yang Zheng Jianguo Li James Y. Zhang 62 38 0 31 May 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation Qingfeng Lan Yangchen Pan Jun Luo A. R. Mahmood OffRL 36 8 0 22 May 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Dapeng Li Bin Zhang Yuan Zhan Yunru Bai Guoliang Fan OffRL 27 7 0 20 Apr 2022
Accelerated Policy Learning with Parallel Differentiable Simulation Jie Xu Viktor Makoviychuk Yashraj S. Narang Fabio Ramos Wojciech Matusik Animesh Garg Miles Macklin 24 86 0 14 Apr 2022
Revisiting Model-based Value Expansion Daniel Palenicek M. Lutter Jan Peters 27 2 0 28 Mar 2022
Investigating Compounding Prediction Errors in Learned Dynamics Models Nathan Lambert K. Pister Roberto Calandra AI4CE 22 27 0 17 Mar 2022
Strategic Maneuver and Disruption with Reinforcement Learning Approaches for Multi-Agent Coordination Derrik E. Asher Anjon Basak Rolando Fernandez P. Sharma Erin G. Zaroukian ... Thomas Mahre Gerardo Galindo Luke Frerichs J. Rogers J. Fossaceca AI4CE 11 5 0 17 Mar 2022
Retrieval-Augmented Reinforcement Learning Anirudh Goyal A. Friesen Andrea Banino T. Weber Nan Rosemary Ke ... Michal Valko Simon Osindero Timothy Lillicrap N. Heess Charles Blundell OffRL 32 53 0 17 Feb 2022
GrASP: Gradient-Based Affordance Selection for Planning Vivek Veeriah Zeyu Zheng Richard L. Lewis Satinder Singh 25 4 0 08 Feb 2022
A Temporal-Difference Approach to Policy Gradient Estimation Samuele Tosatto Andrew Patterson Martha White A. R. Mahmood OffRL 27 2 0 04 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 43 0 01 Feb 2022
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes Chao Qu Xiaoyu Tan Siqiao Xue Xiaoming Shi James Y. Zhang Hongyuan Mei OffRL 30 17 0 29 Jan 2022
Joint Differentiable Optimization and Verification for Certified Reinforcement Learning Yixuan Wang S. Zhan Zhilu Wang Chao Huang Zhaoran Wang Zhuoran Yang Qi Zhu 23 22 0 28 Jan 2022
Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective Ryan K. Tan Yang Liu Lei Xie 44 2 0 21 Jan 2022
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic Zhihai Wang Jie Wang Qi Zhou Bin Li Houqiang Li 27 30 0 16 Dec 2021
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation Todor Davchev Oleg O. Sushkov Jean-Baptiste Regli S. Schaal Y. Aytar Markus Wulfmeier Jonathan Scholz 16 18 0 01 Dec 2021
Generalized Decision Transformer for Offline Hindsight Information Matching Hiroki Furuta Y. Matsuo S. Gu OffRL 21 99 0 19 Nov 2021
Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains Junhong Xu Kai-Li Yin Zheng Chen Jason M. Gregory Ethan Stump Lantao Liu 37 2 0 16 Nov 2021
Physics-informed neural networks via stochastic Hamiltonian dynamics learning Minh Nguyen Chandrajit Bajaj 21 1 0 15 Nov 2021
Procedural Generalization by Planning with Self-Supervised World Models Ankesh Anand Jacob Walker Yazhe Li Eszter Vértes Julian Schrittwieser Sherjil Ozair T. Weber Jessica B. Hamrick 31 31 0 02 Nov 2021
Fully Distributed Actor-Critic Architecture for Multitask Deep Reinforcement Learning John Harwell Angel Sylvester Aleksi Tukiainen Enrique Munoz de Cote 28 4 0 23 Oct 2021
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters Kebing Jin H. Zhuo Zhanhao Xiao Hai Wan Subbarao Kambhampati 44 9 0 19 Oct 2021
Evaluating model-based planning and planner amortization for continuous control Arunkumar Byravan Leonard Hasenclever Piotr Trochim M. Berk Mirza Alessandro Davide Ialongo ... Jost Tobias Springenberg A. Abdolmaleki N. Heess J. Merel Martin Riedmiller 55 17 0 07 Oct 2021
Learning Dynamics Models for Model Predictive Agents M. Lutter Leonard Hasenclever Arunkumar Byravan Gabriel Dulac-Arnold Piotr Trochim N. Heess J. Merel Yuval Tassa AI4CE 57 26 0 29 Sep 2021
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients Oliver Scheel Luca Bergamini Maciej Wołczyk Bla.zej Osiñski Peter Ondruska 37 104 0 27 Sep 2021