Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

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Title
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies Hanna Ziesche Leonel Rozo 26 5 0 17 May 2023
What Matters in Reinforcement Learning for Tractography Antoine Théberge Christian Desrosiers Maxime Descoteaux Pierre-Marc Jodoin OffRL 29 2 0 15 May 2023
MIMEx: Intrinsic Rewards from Masked Input Modeling Toru Lin Allan Jabri OffRL 31 6 0 15 May 2023
A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes Han Zhong Tong Zhang 35 26 0 15 May 2023
Policy Gradient Algorithms Implicitly Optimize by Continuation Adrien Bolland Gilles Louppe D. Ernst 39 3 0 11 May 2023
Mixture of personality improved Spiking actor network for efficient multi-agent cooperation Xiyun Li Ziyi Ni Jingqing Ruan Linghui Meng Jing Shi Tielin Zhang Bo Xu 58 4 0 10 May 2023
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning Yulai Zhao Zhuoran Yang Zhaoran Wang Jason D. Lee 43 3 0 08 May 2023
Truncating Trajectories in Monte Carlo Reinforcement Learning Riccardo Poiani Alberto Maria Metelli Marcello Restelli 26 2 0 07 May 2023
Federated Ensemble-Directed Offline Reinforcement Learning Desik Rengarajan N. Ragothaman D. Kalathil S. Shakkottai OffRL 32 1 0 04 May 2023
Correcting for Interference in Experiments: A Case Study at Douyin Vivek F. Farias Hao Li Tianyi Peng Xinyuyang Ren B. Hassibi A. Zheng 33 9 0 04 May 2023
Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement Learning Liangyu Zhang Yang Peng Wenhao Yang Zhihua Zhang 21 1 0 29 Apr 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz Kaipeng Zhang Pulkit Agrawal 49 15 0 27 Apr 2023
Distance Weighted Supervised Learning for Offline Interaction Data Joey Hejna Jensen Gao Dorsa Sadigh OffRL 36 13 0 26 Apr 2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning Tuomas Haarnoja Ben Moran Guy Lever Sandy H. Huang Dhruva Tirumala ... Andrea Huber N. Hurley F. Nori R. Hadsell N. Heess 50 143 0 26 Apr 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow Dongkun Zhang Jintao Xue Yuxiang Cui Yunkai Wang Eryun Liu Wei Jing Junbo Chen R. Xiong Yue Wang 41 0 0 25 Apr 2023
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies Oscar Li James Harrison Jascha Narain Sohl-Dickstein Virginia Smith Luke Metz 54 5 0 21 Apr 2023
Synthetic Sample Selection for Generalized Zero-Shot Learning Shreyank N. Gowda 30 16 0 06 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 37 15 0 04 Apr 2023
Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function A. B. Siddique M. H. Maqbool Kshitija Taywade H. Foroosh 24 12 0 24 Mar 2023
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality François Ged M. H. Veiga 33 0 0 22 Mar 2023
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning Chaofan Ma Qisen Xu Xiangfeng Wang Bo Jin Xiaoyun Zhang Yanfeng Wang Ya Zhang 37 22 0 19 Mar 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning T. Kanazawa Chetan Gupta 29 0 0 15 Mar 2023
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning Han Zheng Xufang Luo Pengfei Wei Xuan Song Dongsheng Li Jing Jiang OffRL OnRL 18 21 0 14 Mar 2023
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization E. Derman Yevgeniy Men M. Geist Shie Mannor 42 1 0 12 Mar 2023
Optimal active particle navigation meets machine learning Mahdi Nasiri H. Löwen B. Liebchen 16 21 0 09 Mar 2023
Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End Policy and Optimistic Smooth Fictitious Play Wei Xi Yongxin Zhang Changnan Xiao Xuefeng Huang Shihong Deng Haowei Liang Jie Chen Peng Sun OffRL 50 8 0 07 Mar 2023
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control Amarildo Likmeta Matteo Sacco Alberto Maria Metelli Marcello Restelli OffRL 21 3 0 04 Mar 2023
Guarded Policy Optimization with Imperfect Online Demonstrations Zhenghai Xue Zhenghao Peng Quanyi Li Zhihan Liu Bolei Zhou OffRL 51 10 0 03 Mar 2023
Model-based Constrained MDP for Budget Allocation in Sequential Incentive Marketing Shuai Xiao Le Guo Zaifan Jiang Lei Lv Yuanbo Chen Jun Zhu Shuang Yang 24 21 0 02 Mar 2023
Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization Haotian Xu Shengjie Wang Zhaolei Wang Yunzhe Zhang Qing Zhuo Yang Gao Tao Zhang 18 0 0 28 Feb 2023
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks Mohammad Mohammadi Jonathan Nöther Debmalya Mandal Adish Singla Goran Radanović AAML OffRL 35 9 0 27 Feb 2023
Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses Hao Zhang Hongzhuo Liang Lin Cong Jianzhi Lyu Long Zeng Pingfa Feng Jian-Wei Zhang SSL DRL 26 9 0 26 Feb 2023
Gauss-Newton Temporal Difference Learning with Nonlinear Function Approximation Zhifa Ke Junyu Zhang Zaiwen Wen 24 0 0 25 Feb 2023
Sequential Counterfactual Risk Minimization Houssam Zenati Eustache Diemert Matthieu Martin Julien Mairal Pierre Gaillard OffRL 29 3 0 23 Feb 2023
Behavior Proximal Policy Optimization Zifeng Zhuang Kun Lei Jinxin Liu Donglin Wang Yilang Guo OffRL 30 34 0 22 Feb 2023
DSL-Assembly: A Robust and Safe Assembly Strategy Yi Liu OffRL 19 0 0 21 Feb 2023
Understanding the effect of varying amounts of replay per step A. Paul Videh Raj Nema 8 0 0 20 Feb 2023
Improving Deep Policy Gradients with Value Function Search Enrico Marchesini Chris Amato 26 9 0 20 Feb 2023
Reinforcement Learning with Function Approximation: From Linear to Nonlinear Jihao Long Jiequn Han 27 5 0 20 Feb 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning Yunke Wang Bo Du Chang Xu 35 8 0 13 Feb 2023
Graph Learning Based Decision Support for Multi-Aircraft Take-Off and Landing at Urban Air Mobility Vertiports Prajit K. Kumar Jhoel Witter Steve Paul Karthik Dantu Souma Chowdhury 19 3 0 12 Feb 2023
An information-theoretic learning model based on importance sampling Jiangshe Zhang Lizhen Ji Fei Gao Meng-Qian Li 37 0 0 09 Feb 2023
Open Problems and Modern Solutions for Deep Reinforcement Learning Weiqin Chen OffRL 18 0 0 05 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 50 0 0 04 Feb 2023
Distributional constrained reinforcement learning for supply chain optimization J. Berm\údez Antonio del Rio-Chanona Calvin Tsay 26 5 0 03 Feb 2023
User-centric Heterogeneous-action Deep Reinforcement Learning for Virtual Reality in the Metaverse over Wireless Networks Wen-li Yu Terence Jie Chua Junfeng Zhao EgoV 34 18 0 03 Feb 2023
A general Markov decision process formalism for action-state entropy-regularized reward maximization D. Grytskyy Jorge Ramírez-Ruiz R. Moreno-Bote 22 3 0 02 Feb 2023
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints Akhil Agnihotri R. Jain Haipeng Luo 21 2 0 02 Feb 2023
Distillation Policy Optimization Jianfei Ma OffRL 26 1 0 01 Feb 2023
PAC-Bayesian Soft Actor-Critic Learning Bahareh Tasdighi Abdullah Akgul Manuel Haussmann Kenny Kazimirzak Brink M. Kandemir 34 3 0 30 Jan 2023