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Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

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Title
Recent Advances in Reinforcement Learning in Finance B. Hambly Renyuan Xu Huining Yang OffRL 126 180 0 08 Dec 2021
ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives Toshinori Kitamura Ryo Yonetani OffRL 151 4 0 08 Dec 2021
Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization Chaoyue Liu Yulai Zhang 28 1 0 08 Dec 2021
Policy Search for Model Predictive Control with Application to Agile Drone Flight Yunlong Song Davide Scaramuzza 92 86 0 07 Dec 2021
PTR-PPO: Proximal Policy Optimization with Prioritized Trajectory Replay Xingxing Liang Yang Ma Yanghe Feng Zhong Liu 61 10 0 07 Dec 2021
Guided Imitation of Task and Motion Planning M. McDonald Dylan Hadfield-Menell 146 21 0 06 Dec 2021
Target Entropy Annealing for Discrete Soft Actor-Critic Yaosheng Xu Dailin Hu Litian Liang Stephen Marcus McAleer Pieter Abbeel Roy Fox 89 11 0 06 Dec 2021
An Analytical Update Rule for General Policy Optimization Hepeng Li Nicholas Clavette Haibo He 61 4 0 03 Dec 2021
Safe Reinforcement Learning for Grid Voltage Control T. Vu Sayak Mukherjee Renke Huang Qiuhua Huang 45 3 0 02 Dec 2021
Meta Arcade: A Configurable Environment Suite for Meta-Learning Edward W. Staley C. Ashcraft Ben Stoler Jared Markowitz Gautam K. Vallabha Christopher R. Ratto Kapil D. Katyal 42 5 0 01 Dec 2021
Model-Free $μ$ Synthesis via Adversarial Reinforcement Learning Darioush Keivan Aaron J. Havens Peter M. Seiler Geir Dullerud Bin Hu 64 7 0 30 Nov 2021
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering Shan Sun M. Kiran Wei Ren 76 2 0 30 Nov 2021
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 93 6 0 26 Nov 2021
Reinforcement Explanation Learning Siddhant Agarwal Owais Iqbal Sree Aditya Buridi Madda Manjusha Abir Das FAtt 35 0 0 26 Nov 2021
CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing Yongshuai Liu J. Ding Zhi-Li Zhang Xin Liu 82 21 0 16 Nov 2021
Physics-informed neural networks via stochastic Hamiltonian dynamics learning Minh Nguyen Chandrajit Bajaj 40 1 0 15 Nov 2021
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization Youngwoon Lee Joseph J. Lim Anima Anandkumar Yuke Zhu OffRL 85 41 0 15 Nov 2021
Versatile Inverse Reinforcement Learning via Cumulative Rewards Niklas Freymuth P. Becker Gerhard Neumann 57 4 0 15 Nov 2021
Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning Jueming Hu Xuxi Yang Weichang Wang Peng Wei Lei Ying Yongming Liu 60 24 0 13 Nov 2021
Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic Wei Zhou Dong Chen Jun Yan Zhaojian Li Huilin Yin Wancheng Ge 99 86 0 11 Nov 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations Akifumi Wachi Yunyue Wei Yanan Sui OffRL 72 10 0 09 Nov 2021
Coordinated Proximal Policy Optimization Zifan Wu Chao Yu Deheng Ye Junge Zhang Haiyin Piao H. Zhuo 85 46 0 07 Nov 2021
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods Seohong Park Jaekyeom Kim Gunhee Kim 63 24 0 06 Nov 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning Kimin Lee Laura M. Smith Anca Dragan Pieter Abbeel OffRL 125 101 0 04 Nov 2021
Towards an Understanding of Default Policies in Multitask Policy Optimization Theodore H. Moskovitz Michael Arbel Jack Parker-Holder Aldo Pacchiano 70 10 0 04 Nov 2021
Smooth Imitation Learning via Smooth Costs and Smooth Policies Sapana Chaudhary Balaraman Ravindran 53 1 0 03 Nov 2021
Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution Irving G. B. Petrazzini Eric A. Antonelo OffRL 59 13 0 03 Nov 2021
Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method Kuo Li Qing-Shan Jia OffRL 18 2 0 31 Oct 2021
An Actor-Critic Method for Simulation-Based Optimization Kuo Li Qing-Shan Jia Jiaqi Yan 18 2 0 31 Oct 2021
Mastering Atari Games with Limited Data Weirui Ye Shao-Wei Liu Thanard Kurutach Pieter Abbeel Yang Gao VLM 158 242 0 30 Oct 2021
Context Meta-Reinforcement Learning via Neuromodulation Eseoghene Ben-Iwhiwhu Jeffery Dick Nicholas A. Ketz Praveen K. Pilly Andrea Soltoggio OffRL 118 13 0 30 Oct 2021
Generalized Proximal Policy Optimization with Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 152 51 0 29 Oct 2021
Understanding the Effect of Stochasticity in Policy Optimization Jincheng Mei Bo Dai Chenjun Xiao Csaba Szepesvári Dale Schuurmans 77 19 0 29 Oct 2021
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning Wanggang Shen Xun Huan 66 40 0 28 Oct 2021
URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin Denis Yarats Hao Liu Kimin Lee Albert Zhan Kevin Lu Catherine Cang Lerrel Pinto Pieter Abbeel SSL OffRL 86 140 0 28 Oct 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs Beining Han Chongyi Zheng Harris Chan Keiran Paster Michael Ruogu Zhang Jimmy Ba OOD AI4CE 106 14 0 27 Oct 2021
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee Flint Xiaofeng Fan Yining Ma Zhongxiang Dai Wei Jing Cheston Tan K. H. Low FedML AI4CE 87 80 0 26 Oct 2021
Distributed Multi-Agent Deep Reinforcement Learning Framework for Whole-building HVAC Control Vinay Hanumaiah Sahika Genc AI4CE 64 6 0 26 Oct 2021
Self-learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections Jiyoung Lee Jianhua Jiang Guojian Zhan Shengbo Eben Li Jingliang Duan Chen Chen Keqiang Li 76 14 0 24 Oct 2021
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 288 181 0 21 Oct 2021
Can Q-learning solve Multi Armed Bantids? R. Vivanti OffRL 30 0 0 21 Oct 2021
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information Jin Li Xianyuan Zhan Zixu Xiao Guyue Zhou OffRL OnRL 59 2 0 21 Oct 2021
Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning Wenzhuo Zhou Ruoqing Zhu Annie Qu 83 22 0 20 Oct 2021
Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process Tianjiao Li Ziwei Guan Shaofeng Zou Tengyu Xu Yingbin Liang Guanghui Lan 68 30 0 20 Oct 2021
Continuous Control with Action Quantization from Demonstrations Robert Dadashi Léonard Hussenot Damien Vincent Sertan Girgin Anton Raichuk Matthieu Geist Olivier Pietquin OffRL 105 23 0 19 Oct 2021
Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm Raghuram Bharadwaj Diddigi Prateek Jain P. J S. Bhatnagar CML OffRL 90 3 0 19 Oct 2021
An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents Marta Monaci Valerio Agasucci G. Grani 55 25 0 18 Oct 2021
Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs Han Zhong Zhuoran Yang Zhaoran Wang Csaba Szepesvári 119 21 0 18 Oct 2021
On-Policy Model Errors in Reinforcement Learning Lukas P. Frohlich Maksym Lefarov Melanie Zeilinger Felix Berkenkamp OnRL 81 6 0 15 Oct 2021
Offline Reinforcement Learning with Soft Behavior Regularization Haoran Xu Xianyuan Zhan Jianxiong Li Honglei Yin OffRL 79 31 0 14 Oct 2021