Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

50 / 3,098 papers shown

Title
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence Beyond the Minty Property Ioannis Anagnostides Ioannis Panageas Gabriele Farina T. Sandholm 43 3 0 19 Dec 2023
PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping Nai-Chieh Huang Ping-Chun Hsieh Kuo-Hao Ho I-Chen Wu 29 8 0 19 Dec 2023
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective Wanying Wang Yichen Zhu Yirui Zhou Yaxin Peng Jian Tang Zhiyuan Xu Chaomin Shen Yangchun Zhang 34 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 28 10 0 18 Dec 2023
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-Trajectory Reward Hao-Chu Lin Hongqiu Wu Jiaji Zhang Yihao Sun Junyin Ye Yang Yu 27 2 0 17 Dec 2023
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming Minjae Cho Chuangchuang Sun 35 3 0 15 Dec 2023
Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization Paul Seurin K. Shirvan 24 10 0 15 Dec 2023
Communication-Efficient Soft Actor-Critic Policy Collaboration via Regulated Segment Mixture in Internet of Vehicles Xiaoxue Yu Rongpeng Li Chengchao Liang Zhifeng Zhao 33 0 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
World Models via Policy-Guided Trajectory Diffusion Marc Rigter Jun Yamada Ingmar Posner 34 19 0 13 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 80 5 0 13 Dec 2023
A dynamical clipping approach with task feedback for Proximal Policy Optimization Ziqi Zhang Jingzehua Xu Zifeng Zhuang Jinxin Liu Donglin Wang Shuai Zhang 24 1 0 12 Dec 2023
DiffAIL: Diffusion Adversarial Imitation Learning Bingzheng Wang Guoqiang Wu Teng Pang Yan Zhang Yilong Yin 27 11 0 11 Dec 2023
DCIR: Dynamic Consistency Intrinsic Reward for Multi-Agent Reinforcement Learning Kun-Li Channing Lin Yufeng Wang Peihao Chen Runhao Zeng Siyuan Zhou Mingkui Tan Chuang Gan AI4CE 34 0 0 10 Dec 2023
The Generalization Gap in Offline Reinforcement Learning Ishita Mediratta Qingfei You Minqi Jiang Roberta Raileanu OffRL 92 10 0 10 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 41 1 0 09 Dec 2023
Guaranteed Trust Region Optimization via Two-Phase KL Penalization K.R. Zentner Ujjwal Puri Zhehui Huang Gaurav Sukhatme OffRL 24 0 0 08 Dec 2023
A Review of Cooperation in Multi-agent Learning Yali Du Joel Z Leibo Usman Islam Richard Willis P. Sunehag 43 31 0 08 Dec 2023
MIMo: A Multi-Modal Infant Model for Studying Cognitive Development Dominik Mattern Pierre Schumacher F. M. López Marcel C. Raabe M. Ernst A. Aubret Jochen Triesch 31 4 0 07 Dec 2023
Language Model Alignment with Elastic Reset Michael Noukhovitch Samuel Lavoie Florian Strub Aaron Courville KELM 100 25 0 06 Dec 2023
DanZero+: Dominating the GuanDan Game through Reinforcement Learning Youpeng Zhao Yudong Lu Jian Zhao Wen-gang Zhou Houqiang Li 41 6 0 05 Dec 2023
Modular Control Architecture for Safe Marine Navigation: Reinforcement Learning and Predictive Safety Filters Aksel Vaaler Svein Jostein Husa Daniel Menges T. N. Larsen Adil Rasheed 24 2 0 04 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
Safe Reinforcement Learning in Tensor Reproducing Kernel Hilbert Space Xiaoyuan Cheng Boli Chen Liz Varga Yukun Hu 28 0 0 01 Dec 2023
TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning Dohyeong Kim Songhwai Oh 22 19 0 01 Dec 2023
Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value at Risk Dohyeong Kim Songhwai Oh OffRL 27 19 0 01 Dec 2023
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms Xiangyuan Zhang Weichao Mao S. Mowlavi M. Benosman Tamer Basar OffRL AI4CE 24 2 0 30 Nov 2023
Handling Cost and Constraints with Off-Policy Deep Reinforcement Learning Jared Markowitz Jesse Silverberg Gary Collins OffRL 23 0 0 30 Nov 2023
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control Bernd Frauenknecht Tobias Ehlgen Sebastian Trimpe 42 3 0 30 Nov 2023
Deep Reinforcement Learning Graphs: Feedback Motion Planning via Neural Lyapunov Verification A. Ghanbarzadeh Esmaeil Najafi 14 0 0 29 Nov 2023
Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld Yijun Yang Tianyi Zhou Kanxue Li Dapeng Tao Lusong Li Li Shen Xiaodong He Jing Jiang Yuhui Shi LLMAG LM&Ro 35 35 0 28 Nov 2023
Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy Jung-Hoon Cho Sirui Li Jeongyun Kim Cathy Wu 29 3 0 27 Nov 2023
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation Jiachen Li David Isele Kanghoon Lee Jinkyoo Park K. Fujimura Mykel J. Kochenderfer 36 7 0 27 Nov 2023
Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network Jichen Zhang Linwei Sang Yinliang Xu Hongbin Sun 13 13 0 27 Nov 2023
Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning Melrose Roderick Gaurav Manek Felix Berkenkamp J. Zico Kolter OffRL OnRL 36 0 0 25 Nov 2023
Curriculum Learning and Imitation Learning for Model-free Control on Financial Time-series Woosung Koh Insu Choi Yuntae Jang Gimin Kang Woo Chang Kim 33 1 0 22 Nov 2023
Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts Ahmed Hendawy Jan Peters Carlo DÉramo MoE 33 15 0 19 Nov 2023
Towards a Standardized Reinforcement Learning Framework for AAM Contingency Management Luis E. Alvarez Marc W. Brittain Kara Breeden 16 2 0 17 Nov 2023
Asymptotically Fair Participation in Machine Learning Models: an Optimal Control Perspective Zhuotong Chen Qianxiao Li Zheng Zhang FaML 17 1 0 16 Nov 2023
Supported Trust Region Optimization for Offline Reinforcement Learning Yongyi Mao Hongchang Zhang Chong Chen Yi Tian Xu Xiangyang Ji OffRL 45 14 0 15 Nov 2023
Efficiently Escaping Saddle Points for Non-Convex Policy Optimization Sadegh Khorasani Saber Salehkaleybar Negar Kiyavash Niao He Matthias Grossglauser 29 1 0 15 Nov 2023
Joint User Pairing and Beamforming Design of Multi-STAR-RISs-Aided NOMA in the Indoor Environment via Multi-Agent Reinforcement Learning Y. Park Y. Tun Choong Seon Hong 16 1 0 15 Nov 2023
Adversarial Imitation Learning On Aggregated Data Pierre Le Pelletier de Woillemont Rémi Labory Vincent Corruble 19 0 0 14 Nov 2023
Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees Yifei Zhou Ayush Sekhari Yuda Song Wen Sun OffRL OnRL 30 8 0 14 Nov 2023
On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling Nicholas Corrado Josiah P. Hanna OffRL 20 1 0 14 Nov 2023
Model-assisted Reinforcement Learning of a Quadrotor Arshad Javeed 16 0 0 12 Nov 2023
Clipped-Objective Policy Gradients for Pessimistic Policy Optimization Jared Markowitz Edward W. Staley OffRL 21 2 0 10 Nov 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How Timm Hess Tinne Tuytelaars Gido M. van de Ven 46 7 0 08 Nov 2023
A Method to Improve the Performance of Reinforcement Learning Based on the Y Operator for a Class of Stochastic Differential Equation-Based Child-Mother Systems Cheng Yin Yi Chen 17 0 0 07 Nov 2023