Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning

28 February 2018

Papers citing "Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning"

47 / 197 papers shown

Title
Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors Chi Zhang S. Kuppannagari Viktor Prasanna 43 4 0 08 Jun 2020
Meta-Model-Based Meta-Policy Optimization Takuya Hiraoka Takahisa Imagawa Voot Tangkaratt Takayuki Osa Takashi Onishi Yoshimasa Tsuruoka OffRL 93 8 0 04 Jun 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 94 88 0 16 May 2020
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization P. DÓro Wojciech Ja'skowski OffRL 100 27 0 29 Apr 2020
Modeling Survival in model-based Reinforcement Learning Saeed Moazami P. Doerschuk OffRL 29 1 0 18 Apr 2020
A Game Theoretic Framework for Model Based Reinforcement Learning Aravind Rajeswaran Igor Mordatch Vikash Kumar OffRL 58 128 0 16 Apr 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 95 20 0 29 Mar 2020
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 132 37 0 19 Mar 2020
Mixed Reinforcement Learning with Additive Stochastic Uncertainty Yao Mu Shengbo Eben Li Chang-rui Liu Qi Sun Bingbing Nie B. Cheng Baiyu Peng OffRL 16 1 0 28 Feb 2020
Efficient reinforcement learning control for continuum robots based on Inexplicit Prior Knowledge Junjia Liu Jiaying Shou Zhuang Fu Hangfei Zhou Rongli Xie Jun Zhang Jian Fei Yanna Zhao 74 8 0 26 Feb 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 97 49 0 07 Feb 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 147 137 0 27 Jan 2020
Learning to Combat Compounding-Error in Model-Based Reinforcement Learning Chenjun Xiao Yifan Wu Chen Ma Dale Schuurmans Martin Müller OffRL 78 44 0 24 Dec 2019
Direct and indirect reinforcement learning Yang Guan Shengbo Eben Li Jingliang Duan Jie Li Yangang Ren Qi Sun B. Cheng OffRL 70 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 36 6 0 18 Dec 2019
Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion Bo Zhou Hongsheng Zeng Fan Wang Yunxiang Li Hao Tian 59 18 0 10 Dec 2019
Combining Q-Learning and Search with Amortized Value Estimates Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez Tobias Pfaff T. Weber Lars Buesing Peter W. Battaglia OffRL 87 48 0 05 Dec 2019
Visual Reaction: Learning to Play Catch with Your Drone Kuo-Hao Zeng Roozbeh Mottaghi Luca Weihs Ali Farhadi 69 14 0 04 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 200 1,378 0 03 Dec 2019
A selected review on reinforcement learning based control for autonomous underwater vehicles Yachu Hsu Hui Wu Keyou You Shiji Song 28 3 0 27 Nov 2019
Influence-Based Multi-Agent Exploration Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 92 139 0 12 Oct 2019
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space Muhammad Burhan Hafez C. Weber Matthias Kerzel S. Wermter 31 15 0 10 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 80 41 0 09 Oct 2019
Making sense of sensory input Maciej Wołczyk Jacek Tabor Johannes Welbl Szymon Maszke Marek Sergot 92 53 0 05 Oct 2019
Composite Q-learning: Multi-scale Q-function Decomposition and Separable Optimization Gabriel Kalweit M. Huegle Joschka Boedecker OffRL 36 5 0 30 Sep 2019
Gradient-Aware Model-based Policy Search P. DÓro Alberto Maria Metelli Andrea Tirinzoni Matteo Papini Marcello Restelli 93 36 0 09 Sep 2019
Deterministic Value-Policy Gradients Qingpeng Cai L. Pan Pingzhong Tang 54 1 0 09 Sep 2019
Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction M. Thabet Massimiliano Patacchiola Angelo Cangelosi OffRL 44 12 0 15 Aug 2019
Model-based Lookahead Reinforcement Learning Zhang-Wei Hong Joni Pajarinen Jan Peters 79 10 0 15 Aug 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 153 369 0 06 Jul 2019
Exploring Model-based Planning with Policy Networks Tingwu Wang Jimmy Ba 120 150 0 20 Jun 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 129 965 0 19 Jun 2019
DeepMDP: Learning Continuous Latent Space Models for Representation Learning Carles Gelada Saurabh Kumar Jacob Buckman Ofir Nachum Marc G. Bellemare BDL 113 290 0 06 Jun 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning Yilun Du Karthik Narasimhan 89 33 0 13 May 2019
Deep Residual Reinforcement Learning Shangtong Zhang Wendelin Bohmer Shimon Whiteson 91 32 0 03 May 2019
TTR-Based Reward for Reinforcement Learning with Implicit Model Priors Xubo Lyu Mo Chen OffRL 41 3 0 23 Mar 2019
Machine Learning in IoT Security: Current Solutions and Future Challenges Fatima Hussain Rasheed Hussain Syed Ali Hassan Ekram Hossain 87 538 0 14 Mar 2019
Model-Based Reinforcement Learning for Atari Lukasz Kaiser Mohammad Babaeizadeh Piotr Milos B. Osinski R. Campbell ... Sergey Levine Afroz Mohiuddin Ryan Sepassi George Tucker Henryk Michalewski OffRL 217 871 0 01 Mar 2019
Learning Accurate Extended-Horizon Predictions of High Dimensional Trajectories B. Gaudet R. Linares R. Furfaro 21 1 0 12 Jan 2019
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control Kendall Lowrey Aravind Rajeswaran Sham Kakade G. Haro Igor Mordatch OffRL 79 229 0 05 Nov 2018
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning Kavosh Asadi Evan Cater Dipendra Kumar Misra Michael L. Littman OffRL 88 13 0 31 Oct 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 83 228 0 14 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 90 42 0 28 Aug 2018
Robust Spectral Filtering and Anomaly Detection Jakub Mareˇcek T. Tchrakian 41 2 0 03 Aug 2018
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees Yuping Luo Huazhe Xu Yuanzhi Li Yuandong Tian Trevor Darrell Tengyu Ma OffRL 121 227 0 10 Jul 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion Jacob Buckman Danijar Hafner George Tucker E. Brevdo Honglak Lee 97 333 0 04 Jul 2018
Reward Estimation for Variance Reduction in Deep Reinforcement Learning Joshua Romoff Peter Henderson Alexandre Piché Vincent François-Lavet Joelle Pineau 98 42 0 09 May 2018