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
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 30 225 0 14 Sep 2018
Model-Based Regularization for Deep Reinforcement Learning with Transcoder Networks Felix Leibfried Peter Vrancx OffRL 14 7 0 06 Sep 2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning Marvin Zhang Sharad Vikram Laura M. Smith Pieter Abbeel Matthew J. Johnson Sergey Levine OffRL 23 41 0 28 Aug 2018
Structured Neural Network Dynamics for Model-based Control Alexander Broad Ian Abraham Todd D. Murphey B. Argall 22 5 0 03 Aug 2018
Deterministic Policy Gradients With General State Transitions Qingpeng Cai Ling Pan Pingzhong Tang OffRL 24 2 0 10 Jul 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion Jacob Buckman Danijar Hafner George Tucker E. Brevdo Honglak Lee 33 329 0 04 Jul 2018
Guided evolutionary strategies: Augmenting random search with surrogate gradients Niru Maheswaranathan Luke Metz George Tucker Dami Choi Jascha Narain Sohl-Dickstein 25 20 0 26 Jun 2018
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 48 471 0 14 Jun 2018
Boredom-driven curious learning by Homeo-Heterostatic Value Gradients Yen Yu A. Chang Ryota Kanai 20 9 0 05 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 42 595 0 04 Jun 2018
Learning Real-World Robot Policies by Dreaming A. Piergiovanni Alan Wu Michael S. Ryoo 29 31 0 20 May 2018
Episodic Memory Deep Q-Networks Zichuan Lin Tianqi Zhao Guangwen Yang Lintao Zhang OffRL 24 85 0 19 May 2018
Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments Xi Chen Ali Ghadirzadeh John Folkesson Patric Jensfelt 22 44 0 27 Apr 2018
Lipschitz Continuity in Model-based Reinforcement Learning Kavosh Asadi Dipendra Kumar Misra Michael L. Littman KELM 43 150 0 19 Apr 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 17 522 0 18 Apr 2018
Recall Traces: Backtracking Models for Efficient Reinforcement Learning Anirudh Goyal Philemon Brakel W. Fedus Soumye Singhal Timothy Lillicrap Sergey Levine Hugo Larochelle Yoshua Bengio OffRL 23 68 0 02 Apr 2018
Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning J. A. G. Higuera David Meger Gregory Dudek BDL 22 39 0 06 Mar 2018
Smoothed Action Value Functions for Learning Gaussian Policies Ofir Nachum Mohammad Norouzi George Tucker Dale Schuurmans 18 28 0 06 Mar 2018
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning Vladimir Feinberg Alvin Wan Ion Stoica Michael I. Jordan Joseph E. Gonzalez Sergey Levine OffRL 13 317 0 28 Feb 2018
Model-Ensemble Trust-Region Policy Optimization Thanard Kurutach I. Clavera Yan Duan Aviv Tamar Pieter Abbeel 20 449 0 28 Feb 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch Martin Riedmiller Roland Hafner Thomas Lampe Michael Neunert Jonas Degrave T. Wiele Volodymyr Mnih N. Heess Jost Tobias Springenberg 44 445 0 28 Feb 2018
The Mirage of Action-Dependent Baselines in Reinforcement Learning George Tucker Surya Bhupatiraju S. Gu Richard Turner Zoubin Ghahramani Sergey Levine OffRL 30 126 0 27 Feb 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills Yuke Zhu Ziyun Wang J. Merel Andrei A. Rusu Tom Erez ... S. Tunyasuvunakool János Kramár R. Hadsell Nando de Freitas N. Heess SSL 34 316 0 26 Feb 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control Vitchyr H. Pong S. Gu Murtaza Dalal Sergey Levine OffRL 66 238 0 25 Feb 2018
Fourier Policy Gradients M. Fellows K. Ciosek Shimon Whiteson 35 15 0 19 Feb 2018
Learning Parametric Closed-Loop Policies for Markov Potential Games Sergio Valcarcel Macua Javier Zazo S. Zazo 23 46 0 03 Feb 2018
Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations Xiaoqin Zhang Huimin Ma OffRL 43 38 0 31 Jan 2018
Model-Based Action Exploration for Learning Dynamic Motion Skills Glen Berseth M. van de Panne 41 0 0 11 Jan 2018
Expected Policy Gradients for Reinforcement Learning K. Ciosek Shimon Whiteson 50 51 0 10 Jan 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment Yi Wu Yuxin Wu Georgia Gkioxari Yuandong Tian 3DV 64 338 0 07 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 28 8,170 0 04 Jan 2018
Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces Daniel Levy Stefano Ermon 31 4 0 21 Nov 2017
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning Marc Lanctot V. Zambaldi A. Gruslys Angeliki Lazaridou K. Tuyls Julien Perolat David Silver T. Graepel 50 628 0 02 Nov 2017
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning Gregory Farquhar Tim Rocktaschel Maximilian Igl Shimon Whiteson OffRL 25 71 0 31 Oct 2017
Flow: A Modular Learning Framework for Mixed Autonomy Traffic Cathy Wu Abdul Rahman Kreidieh Kanaad Parvate Eugene Vinitsky Alexandre M. Bayen 21 153 0 16 Oct 2017
Expanding Motor Skills through Relay Neural Networks Visak C. V. Kumar Sehoon Ha Chenxi Liu 20 2 0 22 Sep 2017
MBMF: Model-Based Priors for Model-Free Reinforcement Learning Somil Bansal Roberto Calandra Kurtland Chua Sergey Levine Claire Tomlin OffRL 19 36 0 10 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 65 2,780 0 19 Aug 2017
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning Anusha Nagabandi G. Kahn R. Fearing Sergey Levine 46 965 0 08 Aug 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning I. Higgins Arka Pal Andrei A. Rusu Loic Matthey Christopher P. Burgess Alexander Pritzel M. Botvinick Charles Blundell Alexander Lerchner DRL 43 411 0 26 Jul 2017
Learning model-based planning from scratch Razvan Pascanu Yujia Li Oriol Vinyals N. Heess Lars Buesing S. Racanière David P. Reichert T. Weber Daan Wierstra Peter W. Battaglia LM&Ro 42 97 0 19 Jul 2017
ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems James Harrison Animesh Garg Boris Ivanovic Yuke Zhu Silvio Savarese Li Fei-Fei Marco Pavone 29 25 0 15 Jul 2017
Value Prediction Network Junhyuk Oh Satinder Singh Honglak Lee 37 331 0 11 Jul 2017
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 143 928 0 07 Jul 2017
Expected Policy Gradients K. Ciosek Shimon Whiteson 33 57 0 15 Jun 2017
Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics Tomoki Nishi Prashant Doshi Michael R. James Danil Prokhorov 30 5 0 04 Jun 2017
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning S. Gu Timothy Lillicrap Zoubin Ghahramani Richard Turner Bernhard Schölkopf Sergey Levine OffRL 35 164 0 01 Jun 2017
Non-Markovian Control with Gated End-to-End Memory Policy Networks J. Perez T. Silander OffRL 23 6 0 31 May 2017
Guide Actor-Critic for Continuous Control Voot Tangkaratt A. Abdolmaleki Masashi Sugiyama 26 17 0 22 May 2017
Metacontrol for Adaptive Imagination-Based Optimization Jessica B. Hamrick A. J. Ballard Razvan Pascanu Oriol Vinyals N. Heess Peter W. Battaglia 27 69 0 07 May 2017