Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

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Title
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate Fan Luo Zuolin Tu Zefang Huang Yang Yu OffRL 38 0 0 24 May 2024
Bayesian Optimization of Functions over Node Subsets in Graphs Huidong Liang Xingchen Wan Xiaowen Dong 50 1 0 24 May 2024
MeMo: Meaningful, Modular Controllers via Noise Injection Megan Tjandrasuwita Jie Xu Armando Solar-Lezama Wojciech Matusik 21 0 0 24 May 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning Hector Kohler Quentin Delfosse R. Akrour Kristian Kersting Philippe Preux 62 14 0 23 May 2024
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration Yang Zhang Shixin Yang Chenjia Bai Fei Wu Xiu Li Zhen Wang Xuelong Li LLMAG 36 25 0 23 May 2024
Exclusively Penalized Q-learning for Offline Reinforcement Learning Junghyuk Yeom Yonghyeon Jo Jungmo Kim Sanghyeon Lee Seungyul Han OffRL 40 2 0 23 May 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 82 43 0 23 May 2024
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses Thanh Nguyen Tung M. Luu Tri Ton Chang D. Yoo OffRL AAML 34 0 0 18 May 2024
Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback Asaf B. Cassel Haipeng Luo Aviv A. Rosenberg Dmitry Sotnikov OffRL 31 3 0 13 May 2024
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks Zhifa Ke Zaiwen Wen Junyu Zhang 37 0 0 07 May 2024
Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization S. Reifenstein T. Leleu Yoshihisa Yamamoto 48 1 0 02 May 2024
Adversarial Attacks on Reinforcement Learning Agents for Command and Control Ahaan Dabholkar James Z. Hare Mark R. Mittrick John Richardson Nick Waytowich Priya Narayanan Saurabh Bagchi AAML 37 1 0 02 May 2024
Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning Chengqian Gao William de Vazelhes Hualin Zhang Bin Gu Zhiqiang Xu 54 0 0 02 May 2024
Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun Sihong He Fei Miao Shaofeng Zou 46 4 0 02 May 2024
S $^2$ AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud Billel Mokeddem Zhenghai Xue L. Pang Bo An Haipeng Chen Sanjay Chawla 41 3 0 02 May 2024
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation Shangding Gu Bilgehan Sel Yuhao Ding Lu Wang Qingwei Lin Ming Jin Alois Knoll 60 9 0 02 May 2024
Deep Reinforcement Learning for Bipedal Locomotion: A Brief Survey Lingfan Bao Josephine N. Humphreys Tianhu Peng Chengxu Zhou 73 5 0 25 Apr 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 29 6 0 22 Apr 2024
Self-playing Adversarial Language Game Enhances LLM Reasoning Pengyu Cheng Tianhao Hu Han Xu Zhisong Zhang Yong Dai Lei Han Nan Du Nan Du Xiaolong Li SyDa LRM ReLM 98 29 0 16 Apr 2024
Learn Your Reference Model for Real Good Alignment Alexey Gorbatovski Boris Shaposhnikov Alexey Malakhov Nikita Surnachev Yaroslav Aksenov Ian Maksimov Nikita Balagansky Daniil Gavrilov OffRL 54 27 0 15 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 50 6 0 09 Apr 2024
Learning Prehensile Dexterity by Imitating and Emulating State-only Observations Yunhai Han Zhenyang Chen Harish Ravichandar 32 5 0 08 Apr 2024
Model-based Reinforcement Learning for Parameterized Action Spaces Renhao Zhang Haotian Fu Yilin Miao George Konidaris 31 3 0 03 Apr 2024
Generalized Policy Learning for Smart Grids: FL TRPO Approach Yunxiang Li Nicolas Mauricio Cuadrado Samuel Horváth Martin Takáč 30 0 0 27 Mar 2024
Policy Mirror Descent with Lookahead Kimon Protopapas Anas Barakat 29 1 0 21 Mar 2024
Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate Yifan Lin Yuhao Wang Enlu Zhou 72 0 0 01 Mar 2024
Generalizing Reward Modeling for Out-of-Distribution Preference Learning Chen Jia 44 2 0 22 Feb 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization Tianying Ji Yongyuan Liang Yan Zeng Yu-Juan Luo Guowei Xu Jiawei Guo Ruijie Zheng Furong Huang Gang Hua Huazhe Xu CML 48 11 0 22 Feb 2024
Performance Improvement Bounds for Lipschitz Configurable Markov Decision Processes Alberto Maria Metelli 15 0 0 21 Feb 2024
Off-policy Distributional Q( $λ$ ): Distributional RL without Importance Sampling Yunhao Tang Mark Rowland Rémi Munos Bernardo Avila-Pires Will Dabney OffRL 12 1 0 08 Feb 2024
Regularized Q-Learning with Linear Function Approximation Jiachen Xi Alfredo Garcia P. Momcilovic 38 2 0 26 Jan 2024
The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and Implementations Matthias Lehmann 46 0 0 24 Jan 2024
On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization Ling Liang Haizhao Yang 14 1 0 23 Jan 2024
A Minimaximalist Approach to Reinforcement Learning from Human Feedback Gokul Swamy Christoph Dann Rahul Kidambi Zhiwei Steven Wu Alekh Agarwal OffRL 41 96 0 08 Jan 2024
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems Eduardo Sebastián T. Duong Nikolay Atanasov Eduardo Montijano C. Sagüés 31 3 0 30 Dec 2023
Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms Yichen Li Chicheng Zhang OffRL 33 0 0 28 Dec 2023
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning Guojian Wang Faguo Wu Xiao Zhang Ning Guo Zhiming Zheng 36 3 0 27 Dec 2023
Maximizing the Success Probability of Policy Allocations in Online Systems Artem Betlei Mariia Vladimirova Mehdi Sebbar Nicolas Urien Thibaud Rahier Benjamin Heymann OffRL 19 1 0 26 Dec 2023
Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation Paul Daoudi Mathias Formoso Othman Gaizi Achraf Azize Evrard Garcelon OffRL 26 0 0 24 Dec 2023
PGN: A perturbation generation network against deep reinforcement learning Xiangjuan Li Feifan Li Yang Li Quanbiao Pan AAML 27 2 0 20 Dec 2023
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective Wanying Wang Yichen Zhu Yirui Zhou Chaomin Shen Jian Tang Zhiyuan Xu Yaxin Peng Yangchun Zhang 21 4 0 18 Dec 2023
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling Jakob J. Hollenstein Georg Martius J. Piater 22 3 0 18 Dec 2023
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects Min Hua Dong Chen Xinda Qi Kun Jiang Z. Liu Quan Zhou Hongming Xu 26 10 0 18 Dec 2023
Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization Paul Seurin K. Shirvan 24 10 0 15 Dec 2023
Gradient Informed Proximal Policy Optimization Sanghyun Son L. Zheng Ryan Sullivan Yi-Ling Qiao Ming-Chyuan Lin 37 7 0 14 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 78 5 0 13 Dec 2023
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR Jaeuk Shin Giho Kim Howon Lee Joonho Han Insoon Yang OffRL 33 1 0 09 Dec 2023
LLM A: Human in the Loop Large Language Models Enabled A Search for Robotics Hengjia Xiao Peng Wang Mingzhe Yu Mattia Robbiani 29 21 0 04 Dec 2023
TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning Dohyeong Kim Songhwai Oh 19 19 0 01 Dec 2023
Towards a Standardized Reinforcement Learning Framework for AAM Contingency Management Luis E. Alvarez Marc W. Brittain Kara Breeden 13 2 0 17 Nov 2023