Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

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Title
Design of intentional backdoors in sequential models Zhaoyuan Yang N. Iyer Johan Reimann Nurali Virani SILM AAML 17 38 0 26 Feb 2019
World Discovery Models M. G. Azar Bilal Piot Bernardo Avila-Pires Jean-Bastien Grill Florent Altché Rémi Munos 21 26 0 20 Feb 2019
Investigating Generalisation in Continuous Deep Reinforcement Learning Chenyang Zhao Olivier Sigaud F. Stulp Timothy M. Hospedales OffRL 22 48 0 19 Feb 2019
DIViS: Domain Invariant Visual Servoing for Collision-Free Goal Reaching Fereshteh Sadeghi 13 28 0 18 Feb 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients Supratik Paul Vitaly Kurin Shimon Whiteson 22 32 0 18 Feb 2019
Learn a Prior for RHEA for Better Online Planning Xinyao Tong W. Liu Bin Li OffRL 37 0 0 14 Feb 2019
Non-Asymptotic Analysis of Monte Carlo Tree Search Devavrat Shah Qiaomin Xie Zhi Xu 19 9 0 14 Feb 2019
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery Ngoc Duy Nguyen Thanh Nguyen S. Nahavandi Asim Bhatti Glenn Guest 21 41 0 14 Feb 2019
Value constrained model-free continuous control Steven Bohez A. Abdolmaleki Michael Neunert J. Buchli N. Heess R. Hadsell 24 62 0 12 Feb 2019
Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration Vianney Loing Renaud Marlet Mathieu Aubry 29 23 0 07 Feb 2019
Artificial Intelligence for Prosthetics - challenge solutions L. Kidzinski Carmichael F. Ong Sharada Mohanty Jennifer Hicks Sean F. Carroll ... E. Tumer J. Watson M. Salathé Sergey Levine Scott L. Delp 15 40 0 07 Feb 2019
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective Anirudh Vemula Wen Sun J. Andrew Bagnell 14 40 0 31 Jan 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 26 118 0 29 Jan 2019
Lyapunov-based Safe Policy Optimization for Continuous Control Yinlam Chow Ofir Nachum Aleksandra Faust Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 24 244 0 28 Jan 2019
Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP Kefan Dong Yuanhao Wang Xiaoyu Chen Liwei Wang OffRL 14 95 0 27 Jan 2019
Trust Region Value Optimization using Kalman Filtering Shirli Di-Castro Shashua Shie Mannor 19 7 0 23 Jan 2019
Robust Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning Joonho Lee Jemin Hwangbo Marco Hutter 9 86 0 22 Jan 2019
Neuroflight: Next Generation Flight Control Firmware W. Koch R. Mancuso Azer Bestavros 33 29 0 19 Jan 2019
On-Policy Trust Region Policy Optimisation with Replay Buffers D. Kangin N. Pugeault OffRL 14 3 0 18 Jan 2019
Imitation-Regularized Offline Learning Yifei Ma Yu-Xiang Wang Balakrishnan Balakrishnan Narayanaswamy OffRL 6 22 0 15 Jan 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication E. Pesce Giovanni Montana 17 72 0 12 Jan 2019
A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting Thanh Thi Nguyen Ngoc Duy Nguyen Fernando Bello S. Nahavandi 22 38 0 10 Jan 2019
Accelerating Goal-Directed Reinforcement Learning by Model Characterization Shoubhik Debnath Gaurav Sukhatme Lantao Liu 11 3 0 04 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 27 774 0 31 Dec 2018
Deconfounding Reinforcement Learning in Observational Settings Chaochao Lu Bernhard Schölkopf José Miguel Hernández-Lobato CML OOD 25 73 0 26 Dec 2018
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine 54 433 0 26 Dec 2018
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control Xingxing Liang Qi Wang Yanghe Feng Zhong Liu Jincai Huang 29 5 0 24 Dec 2018
TD-Regularized Actor-Critic Methods Simone Parisi Voot Tangkaratt Jan Peters Mohammad Emtiyaz Khan OffRL 24 32 0 19 Dec 2018
Toward Multimodal Model-Agnostic Meta-Learning Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 55 31 0 18 Dec 2018
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning Tianyi Chen Kaipeng Zhang G. Giannakis Tamer Basar OffRL 29 41 0 07 Dec 2018
Top-K Off-Policy Correction for a REINFORCE Recommender System Minmin Chen Alex Beutel Paul Covington Sagar Jain Francois Belletti Ed H. Chi CML OffRL 31 474 0 06 Dec 2018
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
Connecting the Dots Between MLE and RL for Sequence Prediction Bowen Tan Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric Xing 28 24 0 24 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 34 397 0 19 Nov 2018
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 32 109 0 19 Nov 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 48 826 0 16 Nov 2018
Meta-Learning for Multi-objective Reinforcement Learning Xi Chen Ali Ghadirzadeh Mårten Björkman Pablo G. Cámara OffRL 23 54 0 08 Nov 2018
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning Yanchun Xie Jimin Xiao Hassan Jameel Asghar Jeyarajan Thiyagalingam Dali Kaafar 18 21 0 08 Nov 2018
Deep Reinforcement Learning via L-BFGS Optimization Chris Paxton Roummel F. Marcia OffRL 16 0 0 06 Nov 2018
A Closer Look at Deep Policy Gradients Andrew Ilyas Logan Engstrom Shibani Santurkar Dimitris Tsipras Firdaus Janoos Larry Rudolph Aleksander Madry 30 50 0 06 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 18 22 0 03 Nov 2018
VIREL: A Variational Inference Framework for Reinforcement Learning M. Fellows Anuj Mahajan Tim G. J. Rudner Shimon Whiteson DRL 35 54 0 03 Nov 2018
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun D. Song OffRL 18 233 0 29 Oct 2018
Stability-certified reinforcement learning: A control-theoretic perspective Ming Jin Javad Lavaei 31 85 0 26 Oct 2018
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions Lerrel Pinto Aditya Mandalika Brian Hou S. Srinivasa 25 13 0 24 Oct 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
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space E. Wei Drew Wicke S. Luke BDL 22 35 0 23 Oct 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments S. Srinivasan Marc Lanctot V. Zambaldi Julien Perolat K. Tuyls Rémi Munos Michael Bowling 8 148 0 21 Oct 2018
First-order and second-order variants of the gradient descent in a unified framework Thomas Pierrot Nicolas Perrin Olivier Sigaud ODL 30 7 0 18 Oct 2018
Policy Gradient in Partially Observable Environments: Approximation and Convergence Kamyar Azizzadenesheli Manish Kumar Bera Anima Anandkumar OffRL 30 8 0 18 Oct 2018