Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

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Title
Optimizing Irrigation Efficiency using Deep Reinforcement Learning in the Field Xianzhong Ding Wan Du AI4CE 31 13 0 04 Apr 2023
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring Runzhe Wan Yu Liu James McQueen Doug Hains Rui Song OffRL 35 4 0 02 Apr 2023
Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization M. Chadi H. Mousannif OffRL 21 4 0 31 Mar 2023
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning Zifan Wu Chao Yu Chong Chen Jianye Hao H. Zhuo 34 9 0 31 Mar 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
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey Tongzhou Mu H. Su OffRL 35 1 0 23 Mar 2023
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality François Ged M. H. Veiga 33 0 0 22 Mar 2023
Large AI Models in Health Informatics: Applications, Challenges, and the Future Jianing Qiu Lin Li Jiankai Sun Jiachuan Peng Peilun Shi ... Bo Xiao Wu Yuan Ningli Wang Dong Xu Benny Lo AI4MH LM&MA 42 128 0 21 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 39 22 0 19 Mar 2023
Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management Julien N. Siems Maximilian Schambach Sebastian Schulze Johannes Otterbach 22 2 0 18 Mar 2023
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits Weitong Zhang Jiafan He Zhiyuan Fan Q. Gu 108 5 0 16 Mar 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning T. Kanazawa Chetan Gupta 31 0 0 15 Mar 2023
Sample-efficient Adversarial Imitation Learning Dahuin Jung Hyungyu Lee Sung-Hoon Yoon SSL 31 2 0 14 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 45 1 0 12 Mar 2023
Uncertainty-Aware Instance Reweighting for Off-Policy Learning Xiaoying Zhang Junpu Chen Hongning Wang Hong Xie Yang Liu John C. S. Lui Hang Li OffRL 83 4 0 11 Mar 2023
Optimal active particle navigation meets machine learning Mahdi Nasiri H. Löwen B. Liebchen 21 21 0 09 Mar 2023
Policy Mirror Descent Inherently Explores Action Space Yan Li Guanghui Lan OffRL 63 8 0 08 Mar 2023
ConBaT: Control Barrier Transformer for Safe Policy Learning Yue Meng Sai H. Vemprala Rogerio Bonatti Chuchu Fan Ashish Kapoor OffRL 45 3 0 07 Mar 2023
Foundation Models for Decision Making: Problems, Methods, and Opportunities Sherry Yang Ofir Nachum Yilun Du Jason W. Wei Pieter Abbeel Dale Schuurmans LM&Ro OffRL LRM AI4CE 98 156 0 07 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
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning Daniel Palenicek M. Lutter João Carvalho Jan Peters 32 4 0 07 Mar 2023
Evolutionary Reinforcement Learning: A Survey Hui Bai Ran Cheng Yaochu Jin OffRL 50 52 0 07 Mar 2023
Safe Reinforcement Learning via Probabilistic Logic Shields Wen-Chi Yang G. Marra Gavin Rens Luc de Raedt OffRL 46 30 0 06 Mar 2023
CFlowNets: Continuous Control with Generative Flow Networks Yinchuan Li Shuang Luo Haozhi Wang Jianye Hao 91 20 0 04 Mar 2023
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control Amarildo Likmeta Matteo Sacco Alberto Maria Metelli Marcello Restelli OffRL 26 3 0 04 Mar 2023
Multi-Target Pursuit by a Decentralized Heterogeneous UAV Swarm using Deep Multi-Agent Reinforcement Learning Maryam Kouzeghar Youn-Suk Song Malika Meghjani Roland Bouffanais 34 12 0 03 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
Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications Zikang Xiong Daniel Lawson Joe Eappen A. H. Qureshi Suresh Jagannathan 13 0 0 02 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 30 21 0 02 Mar 2023
Policy Dispersion in Non-Markovian Environment B. Qu Xiaofeng Cao Jielong Yang Hechang Chen Chang Yi Ivor W.Tsang Yew-Soon Ong 22 0 0 28 Feb 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
Taylor TD-learning Michele Garibbo Maxime Robeyns Laurence Aitchison OffRL 23 1 0 27 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 34 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 32 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 39 5 0 20 Feb 2023
Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization Brendan O'Donoghue OffRL 35 6 0 18 Feb 2023
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning Harshit S. Sikchi Qinqing Zheng Amy Zhang S. Niekum OffRL 38 19 0 16 Feb 2023
Model-Based Decentralized Policy Optimization Hao Luo Jiechuan Jiang Zongqing Lu 24 0 0 16 Feb 2023
Trust-Region-Free Policy Optimization for Stochastic Policies Mingfei Sun Benjamin Ellis Anuj Mahajan Sam Devlin Katja Hofmann Shimon Whiteson 6 2 0 15 Feb 2023
CERiL: Continuous Event-based Reinforcement Learning Celyn Walters Simon Hadfield OffRL 27 2 0 15 Feb 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning Yunke Wang Bo Du Chang Xu 38 8 0 13 Feb 2023
Order Matters: Agent-by-agent Policy Optimization Xihuai Wang Zheng Tian Bo Liu Ying Wen Jun Wang Weinan Zhang 33 27 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