Path Integral Guided Policy Search

3 October 2016

Papers citing "Path Integral Guided Policy Search"

50 / 70 papers shown

Title
DoorBot: Closed-Loop Task Planning and Manipulation for Door Opening in the Wild with Haptic Feedback Zhi Wang Yuchen Mo Shengmiao Jin Wenzhen Yuan 42 1 0 12 Apr 2025
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning Siddharth Aravindan Dixant Mittal Wee Sun Lee BDL 79 0 0 17 Jan 2025
Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control Alessandro Saviolo Jonathan Frey Abhishek Rathod Moritz Diehl Giuseppe Loianno 62 25 0 23 Oct 2022
ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control Xingshuai Huang Di Wu M. Jenkin Benoit Boulet 13 15 0 15 Nov 2021
Temporal Shift Reinforcement Learning Deep Thomas Tichakorn Wongpiromsarn Ali Jannesari OffRL 23 0 0 05 Sep 2021
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation Charles Sun Jkedrzej Orbik Coline Devin Brian Yang Abhishek Gupta Glen Berseth Sergey Levine SSL 37 51 0 28 Jul 2021
Learning Modular Robot Control Policies Julian Whitman Matthew Travers Howie Choset 22 44 0 20 May 2021
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention Abhishek Gupta Justin Yu Tony Zhao Vikash Kumar Aaron Rovinsky Kelvin Xu Thomas Devlin Sergey Levine OffRL 72 95 0 22 Apr 2021
Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters Trevor A. McInroe Michael Spurrier J. Sieber Stephen Conneely 16 0 0 11 Mar 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 16 517 0 04 Feb 2021
Bootstrapping Motor Skill Learning with Motion Planning Ben Abbatematteo Eric Rosen Stefanie Tellex George Konidaris SSL 30 9 0 12 Jan 2021
Reinforcement Learning with Latent Flow Wenling Shang Xiaofei Wang A. Srinivas Aravind Rajeswaran Yang Gao Pieter Abbeel Michael Laskin OffRL 15 23 0 06 Jan 2021
ACDER: Augmented Curiosity-Driven Experience Replay Boyao Li Tao Lu Jiayi Li N. Lu Yinghao Cai Shuo Wang 17 16 0 16 Nov 2020
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning Jiajun Fan He Ba Xian Guo Jianye Hao OffRL 16 5 0 13 Nov 2020
Planning under Uncertainty to Goal Distributions Adam Conkey Tucker Hermans 21 3 0 09 Nov 2020
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning Avi Singh Albert Yu Jonathan Yang Jesse Zhang Aviral Kumar Sergey Levine SSL OffRL OnRL 35 103 0 27 Oct 2020
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 37 39 0 27 Oct 2020
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning Guangxiang Zhu Minghao Zhang Honglak Lee Chongjie Zhang OffRL 71 17 0 23 Oct 2020
Local Search for Policy Iteration in Continuous Control Jost Tobias Springenberg N. Heess D. Mankowitz J. Merel Arunkumar Byravan ... Julian Schrittwieser Yuval Tassa J. Buchli Dan Belov Martin Riedmiller OffRL 22 15 0 12 Oct 2020
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation Zhenshan Bing Matthias Brucker F. O. Morin Kai-Qi Huang Alois C. Knoll 19 27 0 27 Jul 2020
robo-gym -- An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots M. Lucchi Friedemann Zindler Stephan Mühlbacher-Karrer Horst Pichler OffRL 30 29 0 06 Jul 2020
Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed Giovanni Sutanto Katharina Rombach Yevgen Chebotar Zhe Su S. Schaal Gaurav Sukhatme Franziska Meier 10 5 0 29 Jun 2020
Variational Model-based Policy Optimization Yinlam Chow Brandon Cui Moonkyung Ryu Mohammad Ghavamzadeh OffRL 9 12 0 09 Jun 2020
Hybrid Control for Learning Motor Skills Ian Abraham Alexander Broad Allison Pinosky B. Argall Todd D. Murphey 19 1 0 05 Jun 2020
Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control Ian Abraham Ankur Handa Nathan D. Ratliff Kendall Lowrey Todd D. Murphey Dieter Fox 8 39 0 04 Jun 2020
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning Zhenhui Ye Yining Chen Guang-hua Song Bowei Yang Sheng Fan OffRL 28 7 0 19 May 2020
The Ingredients of Real-World Robotic Reinforcement Learning Henry Zhu Justin Yu Abhishek Gupta Dhruv Shah Kristian Hartikainen Avi Singh Vikash Kumar Sergey Levine OffRL 63 172 0 27 Apr 2020
A Game Theoretic Framework for Model Based Reinforcement Learning Aravind Rajeswaran Igor Mordatch Vikash Kumar OffRL 14 127 0 16 Apr 2020
Robot Playing Kendama with Model-Based and Model-Free Reinforcement Learning Shidi Li 18 6 0 15 Mar 2020
Local Policy Optimization for Trajectory-Centric Reinforcement Learning Patrik Kolaric Devesh K. Jha A. Raghunathan F. Lewis M. Benosman Diego Romeres D. Nikovski 10 10 0 22 Jan 2020
Learning Latent State Spaces for Planning through Reward Prediction Aaron J. Havens Ouyang Yi P. Nagarajan Yasuhiro Fujita 11 6 0 09 Dec 2019
Self-Supervised Correspondence in Visuomotor Policy Learning Peter R. Florence Lucas Manuelli Russ Tedrake SSL 31 161 0 16 Sep 2019
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning Wenjie Shi Shiji Song Hui Wu Yachu Hsu Cheng Wu Gao Huang 11 25 0 07 Sep 2019
Model-based Lookahead Reinforcement Learning Zhang-Wei Hong Joni Pajarinen Jan Peters 8 10 0 15 Aug 2019
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks Michelle A. Lee Yuke Zhu Peter Zachares Matthew Tan K. Srinivasan Silvio Savarese Fei-Fei Li Animesh Garg Jeannette Bohg SSL 23 208 0 28 Jul 2019
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners A. H. Qureshi Yinglong Miao Anthony Simeonov Michael C. Yip PINN 3DV 34 212 0 13 Jul 2019
Benchmarking Model-Based Reinforcement Learning Tingwu Wang Xuchan Bao I. Clavera Jerrick Hoang Yeming Wen Eric D. Langlois Matthew Shunshi Zhang Guodong Zhang Pieter Abbeel Jimmy Ba OffRL 15 359 0 03 Jul 2019
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces Guy Lorberbom Chris J. Maddison N. Heess Tamir Hazan Daniel Tarlow 18 8 0 14 Jun 2019
A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives Alexander Fabisch Christoph Petzoldt M. Otto Frank Kirchner AI4CE 15 13 0 05 Jun 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning Rui Zhao Xudong Sun Volker Tresp 29 80 0 21 May 2019
Information asymmetry in KL-regularized RL Alexandre Galashov Siddhant M. Jayakumar Leonard Hasenclever Dhruva Tirumala Jonathan Richard Schwarz Guillaume Desjardins Wojciech M. Czarnecki Yee Whye Teh Razvan Pascanu N. Heess OffRL 17 102 0 03 May 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 46 266 0 16 Apr 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 33 269 0 08 Mar 2019
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly Jianlan Luo Eugen Solowjow Chengtao Wen J. A. Ojea A. Agogino Aviv Tamar Pieter Abbeel 21 169 0 04 Mar 2019
Curiosity-Driven Experience Prioritization via Density Estimation Rui Zhao Volker Tresp 27 54 0 20 Feb 2019
Competitive Experience Replay Hao Liu Alexander R. Trott R. Socher Caiming Xiong OffRL 39 52 0 01 Feb 2019
Relative Entropy Regularized Policy Iteration A. Abdolmaleki Jost Tobias Springenberg Jonas Degrave Steven Bohez Yuval Tassa Dan Belov N. Heess Martin Riedmiller 27 72 0 05 Dec 2018
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks Michelle A. Lee Yuke Zhu K. Srinivasan Parth Shah Silvio Savarese Li Fei-Fei Animesh Garg Jeannette Bohg SSL 22 368 0 24 Oct 2018
Energy-Based Hindsight Experience Prioritization Rui Zhao Volker Tresp 19 74 0 02 Oct 2018
Region Growing Curriculum Generation for Reinforcement Learning Artem Molchanov Karol Hausman Stan Birchfield Gaurav Sukhatme 40 2 0 04 Jul 2018