Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

50 / 3,098 papers shown

Title
UGAE: A Novel Approach to Non-exponential Discounting Ariel Kwiatkowski Vicky Kalogeiton Julien Pettré Marie-Paule Cani OffRL 30 2 0 11 Feb 2023
A Survey on Causal Reinforcement Learning Yan Zeng Ruichu Cai Gang Hua Libo Huang Zhifeng Hao CML 31 27 0 10 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
Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective Lucas Maystre Daniel Russo Yu Zhao OffRL 9 9 0 07 Feb 2023
Target-based Surrogates for Stochastic Optimization J. Lavington Sharan Vaswani Reza Babanezhad Mark Schmidt Nicolas Le Roux 60 5 0 06 Feb 2023
Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization Zichuan Lin Xiapeng Wu Mingfei Sun Deheng Ye Qiang Fu Wei Yang Wei Liu 33 3 0 05 Feb 2023
Open Problems and Modern Solutions for Deep Reinforcement Learning Weiqin Chen OffRL 23 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 55 0 0 04 Feb 2023
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies Ilyas Fatkhullin Anas Barakat Anastasia Kireeva Niao He 32 37 0 03 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 40 18 0 03 Feb 2023
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs Theodore H. Moskovitz Brendan O'Donoghue Vivek Veeriah Sebastian Flennerhag Satinder Singh Tom Zahavy 50 19 0 02 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 29 2 0 02 Feb 2023
Distillation Policy Optimization Jianfei Ma OffRL 26 1 0 01 Feb 2023
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model Zhihai Wang Xijun Li Jie Wang Yufei Kuang M. Yuan Jianguo Zeng Yongdong Zhang Feng Wu 34 40 0 01 Feb 2023
Revisiting Bellman Errors for Offline Model Selection Joshua P. Zitovsky Daniel de Marchi Rishabh Agarwal Michael R. Kosorok University of North Carolina at Chapel Hill OffRL 35 5 0 31 Jan 2023
Learning, Fast and Slow: A Goal-Directed Memory-Based Approach for Dynamic Environments Tan Chong Min John Mehul Motani 17 2 0 31 Jan 2023
Optimizing DDPM Sampling with Shortcut Fine-Tuning Ying Fan Kangwook Lee 21 53 0 31 Jan 2023
A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence Carlo Alfano Rui Yuan Patrick Rebeschini 65 15 0 30 Jan 2023
PAC-Bayesian Soft Actor-Critic Learning Bahareh Tasdighi Abdullah Akgul Manuel Haussmann Kenny Kazimirzak Brink M. Kandemir 34 3 0 30 Jan 2023
Learning the Kalman Filter with Fine-Grained Sample Complexity Xiangyuan Zhang Bin Hu Tamer Bacsar 26 16 0 30 Jan 2023
Sample Efficient Deep Reinforcement Learning via Local Planning Dong Yin S. Thiagarajan N. Lazić Nived Rajaraman Botao Hao Csaba Szepesvári 27 4 0 29 Jan 2023
Stochastic Dimension-reduced Second-order Methods for Policy Optimization Jinsong Liu Chen Xie Qinwen Deng Dongdong Ge Yi-Li Ye 32 1 0 28 Jan 2023
Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation Daesol Cho Seungjae Lee H. J. Kim 31 14 0 27 Jan 2023
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints Dohyeong Kim Kyungjae Lee Songhwai Oh 23 10 0 26 Jan 2023
Partial advantage estimator for proximal policy optimization Xiulei Song Yi-Fan Jin Greg Slabaugh Simon Lucas OffRL 20 0 0 26 Jan 2023
Joint action loss for proximal policy optimization Xiulei Song Yi-Fan Jin Greg Slabaugh Simon Lucas 21 0 0 26 Jan 2023
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning Tairan He Weiye Zhao Changliu Liu OffRL 39 17 0 24 Jan 2023
Constrained Reinforcement Learning for Dexterous Manipulation A. Jain Jack Kolb Harish Ravichandar 24 2 0 24 Jan 2023
Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning Zifan Wu Chao Yu Chong Chen Jianye Hao H. Zhuo 27 16 0 20 Jan 2023
Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning Haoxuan Pan Deheng Ye Xiaoming Duan Qiang Fu Wei Yang Jianping He Mingfei Sun OffRL 25 2 0 20 Jan 2023
On Multi-Agent Deep Deterministic Policy Gradients and their Explainability for SMARTS Environment Ansh Mittal Aditya Malte 19 0 0 20 Jan 2023
Multi-Agent Interplay in a Competitive Survival Environment Andrea Fanti 23 0 0 19 Jan 2023
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training Philipp Altmann Thomy Phan Fabian Ritz Thomas Gabor Claudia Linnhoff-Popien OffRL 35 1 0 18 Jan 2023
DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles Zhanteng Xie P. Dames 46 61 0 16 Jan 2023
The Role of Baselines in Policy Gradient Optimization Jincheng Mei Wesley Chung Valentin Thomas Bo Dai Csaba Szepesvári Dale Schuurmans 29 16 0 16 Jan 2023
Deep Reinforcement Learning for Autonomous Ground Vehicle Exploration Without A-Priori Maps Shathushan Sivashangaran A. Eskandarian 32 4 0 10 Jan 2023
Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework Zongwei Liu Yonghong Song Yuanlin Zhang OffRL 35 2 0 10 Jan 2023
Transformers as Policies for Variable Action Environments Niklas Zwingenberger 19 2 0 09 Jan 2023
Extreme Q-Learning: MaxEnt RL without Entropy Divyansh Garg Joey Hejna M. Geist Stefano Ermon OffRL 41 66 0 05 Jan 2023
Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization C. Shi Zhengling Qi Jianing Wang Fan Zhou OffRL 33 4 0 05 Jan 2023
Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism Xudong Guo Daming Shi Wenhui Fan 22 5 0 05 Jan 2023
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver Tom Marty Tristan François Pierre Tessier Louis Gautier Louis-Martin Rousseau Quentin Cappart 51 7 0 05 Jan 2023
Deep Spectral Q-learning with Application to Mobile Health Yuhe Gao C. Shi R. Song 34 0 0 03 Jan 2023
A Policy Optimization Method Towards Optimal-time Stability Shengjie Wang Lan Fengb Xiang Zheng Yu-wen Cao Oluwatosin Oseni Haotian Xu Tao Zhang Yang Gao 39 1 0 02 Jan 2023
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits Ruibo Liu Chenyan Jia Ge Zhang Ziyu Zhuang Tony X. Liu Soroush Vosoughi 99 35 0 01 Jan 2023
Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search Wenqing Zheng S. Sharan Zhiwen Fan Kevin Wang Yihan Xi Zhangyang Wang 58 9 0 30 Dec 2022
Transformer in Transformer as Backbone for Deep Reinforcement Learning Hangyu Mao Rui Zhao Hao Chen Jianye Hao Yiqun Chen Dong Li Junge Zhang Zhen Xiao OffRL 36 8 0 30 Dec 2022
Offline Policy Optimization in RL with Variance Regularizaton Riashat Islam Samarth Sinha Homanga Bharadhwaj Samin Yeasar Arnob Zhuoran Yang Animesh Garg Zhaoran Wang Lihong Li Doina Precup OffRL 26 0 0 29 Dec 2022