Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

50 / 3,098 papers shown

Title
Safe Policy Improvement with Soft Baseline Bootstrapping Kimia Nadjahi Romain Laroche Rémi Tachet des Combes OffRL 17 36 0 11 Jul 2019
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning Nicholas C. Landolfi G. Thomas Tengyu Ma OffRL 13 19 0 11 Jul 2019
Trust-Region Variational Inference with Gaussian Mixture Models Oleg Arenz Mingjun Zhong Gerhard Neumann 45 18 0 10 Jul 2019
An Optimistic Perspective on Offline Reinforcement Learning Rishabh Agarwal Dale Schuurmans Mohammad Norouzi OffRL OnRL 38 69 0 10 Jul 2019
Simple Kinematic Feedback Enhances Autonomous Learning in Bio-Inspired Tendon-Driven Systems Ali Marjaninejad Darío Urbina-Meléndez Francisco J. Valero Cuevas 15 5 0 10 Jul 2019
DOB-Net: Actively Rejecting Unknown Excessive Time-Varying Disturbances Tianming Wang Wenjie Lu Zheng Yan Dikai Liu 51 4 0 10 Jul 2019
Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems M. Lutter Kim D. Listmann Jan Peters PINN 24 71 0 10 Jul 2019
On-Policy Robot Imitation Learning from a Converging Supervisor Ashwin Balakrishna Brijen Thananjeyan Jonathan Lee Felix Li Arsh Zahed Joseph E. Gonzalez Ken Goldberg 30 17 0 08 Jul 2019
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks Le Liang Hao Ye Guanding Yu Geoffrey Ye Li 30 195 0 07 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 41 356 0 06 Jul 2019
Entropic Regularization of Markov Decision Processes Boris Belousov Jan Peters 25 23 0 06 Jul 2019
Intrinsic Motivation Driven Intuitive Physics Learning using Deep Reinforcement Learning with Intrinsic Reward Normalization Jae-Woo Choi Sung-eui Yoon AI4CE PINN 33 3 0 06 Jul 2019
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets Xiaofeng Liu B. Kumar Chao Yang Qingming Tang J. You CVBM 23 42 0 05 Jul 2019
Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning Srinivas Venkattaramanujam Eric Crawford T. Doan Doina Precup OffRL SSL 21 24 0 05 Jul 2019
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model Akira Kinose T. Taniguchi 35 20 0 03 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 34 359 0 03 Jul 2019
Co-training for Policy Learning Jialin Song Ravi Lanka Yisong Yue M. Ono OffRL 18 19 0 03 Jul 2019
Dynamics-Aware Unsupervised Discovery of Skills Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 42 399 0 02 Jul 2019
Modified Actor-Critics Erinc Merdivan S. Hanke M. Geist 24 2 0 02 Jul 2019
FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control Longxiang Shi Shijian Li LongBing Cao Long Yang Gang Zheng Gang Pan 24 5 0 01 Jul 2019
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog Natasha Jaques Asma Ghandeharioun J. Shen Craig Ferguson Àgata Lapedriza Noah J. Jones S. Gu Rosalind W. Picard OffRL 45 337 0 30 Jun 2019
Learning Policies through Quantile Regression Oliver Richter Roger Wattenhofer 18 0 0 27 Jun 2019
Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human-Robot Interaction Sammy Christen Stefan Stevšić Otmar Hilliges 35 24 0 27 Jun 2019
Deep Active Learning with Adaptive Acquisition Manuel Haussmann Fred Hamprecht M. Kandemir 22 41 0 27 Jun 2019
From self-tuning regulators to reinforcement learning and back again Nikolai Matni Alexandre Proutiere Anders Rantzer Stephen Tu 27 88 0 27 Jun 2019
Compositional Transfer in Hierarchical Reinforcement Learning Markus Wulfmeier A. Abdolmaleki Roland Hafner Jost Tobias Springenberg Michael Neunert Tim Hertweck Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller 30 27 0 26 Jun 2019
Policy Optimization with Stochastic Mirror Descent Long Yang Yu Zhang Gang Zheng Qian Zheng Pengfei Li Jianhang Huang Jun Wen Gang Pan 44 34 0 25 Jun 2019
Optimistic Proximal Policy Optimization Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 15 4 0 25 Jun 2019
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy Boyi Liu Qi Cai Zhuoran Yang Zhaoran Wang 30 108 0 25 Jun 2019
Modern Deep Reinforcement Learning Algorithms Sergey Ivanov A. Dýakonov OffRL 29 39 0 24 Jun 2019
Deep Conservative Policy Iteration Nino Vieillard Olivier Pietquin M. Geist 14 26 0 24 Jun 2019
Learning Belief Representations for Imitation Learning in POMDPs Tanmay Gangwani Joel Lehman Qiang Liu Jian Peng 29 36 0 22 Jun 2019
Reinforcement Learning with Convex Constraints Sobhan Miryoosefi Kianté Brantley Hal Daumé Miroslav Dudík Robert Schapire 25 90 0 21 Jun 2019
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Fengda Zhu Xiaojun Chang Runhao Zeng Mingkui Tan CLL 18 3 0 21 Jun 2019
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks Roberto Martín-Martín Michelle A. Lee Rachel Gardner Silvio Savarese Jeannette Bohg Animesh Garg 33 194 0 20 Jun 2019
Exploring Model-based Planning with Policy Networks Tingwu Wang Jimmy Ba 42 147 0 20 Jun 2019
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies Kai Zhang Alec Koppel Haoqi Zhu Tamer Basar 49 186 0 19 Jun 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 39 935 0 19 Jun 2019
Reward Prediction Error as an Exploration Objective in Deep RL Riley Simmons-Edler Ben Eisner Daniel Yang Anthony Bisulco E. Mitchell Sebastian Seung Daniel D. Lee 31 5 0 19 Jun 2019
Wasserstein Adversarial Imitation Learning Huang Xiao Michael Herman Joerg Wagner Sebastian Ziesche Jalal Etesami T. H. Linh 4 67 0 19 Jun 2019
Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning Tadashi Kozuno Dongqi Han Kenji Doya OffRL 28 2 0 18 Jun 2019
Sample-efficient Adversarial Imitation Learning from Observation F. Torabi S. Geiger Garrett A. Warnell Peter Stone 29 13 0 18 Jun 2019
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration Brahma S. Pavse F. Torabi Josiah P. Hanna Garrett A. Warnell Peter Stone 27 33 0 18 Jun 2019
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations Qiaoyun Wu Tianyi Zhou Jun Wang Kai Xu 16 15 0 17 Jun 2019
Is the Policy Gradient a Gradient? Chris Nota Philip S. Thomas 8 57 0 17 Jun 2019
Learning-Driven Exploration for Reinforcement Learning Muhammad Usama D. Chang 35 10 0 17 Jun 2019
LPaintB: Learning to Paint from Self-Supervision Biao Jia Jonathan Brandt R. Měch Byungmoon Kim Tianyi Zhou SSL 19 12 0 17 Jun 2019
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces Guy Lorberbom Chris J. Maddison N. Heess Tamir Hazan Daniel Tarlow 34 8 0 14 Jun 2019
Goal-conditioned Imitation Learning Yiming Ding Carlos Florensa Mariano Phielipp Pieter Abbeel 34 219 0 13 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 29 72 0 13 Jun 2019