Trust Region Policy Optimization

19 February 2015

Pieter Abbeel

Papers citing "Trust Region Policy Optimization"

50 / 3,098 papers shown

Title
Careful at Estimation and Bold at Exploration Xing Chen Yijun Liu Zhaogeng Liu Hechang Chen Hengshuai Yao Yi-Ju Chang 16 0 0 22 Aug 2023
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems Xiaocong Chen Siyu Wang Julian McAuley Dietmar Jannach Lina Yao OffRL 30 5 0 22 Aug 2023
A Homogenization Approach for Gradient-Dominated Stochastic Optimization Jiyuan Tan Chenyu Xue Chuwen Zhang Qi Deng Dongdong Ge Yinyu Ye 30 2 0 21 Aug 2023
Soft Decomposed Policy-Critic: Bridging the Gap for Effective Continuous Control with Discrete RL Ye Zhang Jian Sun G. Wang Zhuoxian Li Wei Chen OffRL 29 0 0 20 Aug 2023
ILCAS: Imitation Learning-Based Configuration-Adaptive Streaming for Live Video Analytics with Cross-Camera Collaboration Duo Wu Dayou Zhang Miao Zhang Ruoyu Zhang Fang Wang Shuguang Cui 26 7 0 19 Aug 2023
Fast Decision Support for Air Traffic Management at Urban Air Mobility Vertiports using Graph Learning Prajit KrisshnaKumar Jhoel Witter Steve Paul Han-Seon Cho Karthik Dantu Souma Chowdhury 21 3 0 17 Aug 2023
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy Optimization Mohammad Mehdi Nasiri M. Rezghi 43 0 0 13 Aug 2023
Learning Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding Jaeho Chung Jamil Fayyad Younes Al Younes Homayoun Najjaran 38 13 0 11 Aug 2023
Pre-Trained Large Language Models for Industrial Control Lei Song Chuheng Zhang Li Zhao Jiang Bian LM&Ro AI4CE 32 12 0 06 Aug 2023
Reinforcement Learning for Financial Index Tracking X. Peng Chen Gong X. He 26 1 0 05 Aug 2023
Deep Reinforcement Learning for Autonomous Spacecraft Inspection using Illumination David van Wijk Kyle Dunlap M. Majji Kerianne L. Hobbs 29 11 0 04 Aug 2023
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization Weiran Yao Shelby Heinecke Juan Carlos Niebles Zhiwei Liu Yihao Feng ... Ran Xu P. Mùi Haiquan Wang Caiming Xiong Silvio Savarese LLMAG LM&Ro 41 74 0 04 Aug 2023
End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control Daniel Mayfrank Alexander Mitsos Manuel Dahmen 29 3 0 03 Aug 2023
Controlling the Solo12 Quadruped Robot with Deep Reinforcement Learning M. Aractingi Pierre-Alexandre Léziart He Cao Julien Perez Yuan Yao Philippe Souères 33 29 0 02 Aug 2023
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning Haorui Li Jiaqi Liang Linjing Li D. Zeng 16 0 0 02 Aug 2023
PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems Aamir Hasan Neeloy Chakraborty Haonan Chen Jung-Hoon Cho Cathy Wu Katherine Driggs-Campbell 34 6 0 01 Aug 2023
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation Zhehua Zhou Jiayang Song Xuan Xie Zhan Shu Lei Ma Dikai Liu Jianxiong Yin Simon See 35 15 0 31 Jul 2023
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges Giorgio Franceschelli Mirco Musolesi AI4CE 42 20 0 31 Jul 2023
Curiosity-Driven Reinforcement Learning based Low-Level Flight Control Amir Ramezani Dooraki Alexandros Iosifidis 17 0 0 28 Jul 2023
Submodular Reinforcement Learning Manish Prajapat Mojmír Mutný Melanie Zeilinger Andreas Krause OffRL 35 12 0 25 Jul 2023
Counterfactual Explanation Policies in RL Shripad Deshmukh R Srivatsan Supriti Vijay Jayakumar Subramanian Chirag Agarwal OffRL 37 0 0 25 Jul 2023
Exploring reinforcement learning techniques for discrete and continuous control tasks in the MuJoCo environment Vaddadi Sai Rahul Debajyoti Chakraborty 11 2 0 20 Jul 2023
REX: Rapid Exploration and eXploitation for AI Agents Rithesh Murthy Shelby Heinecke Juan Carlos Niebles Zhiwei Liu Le Xue ... Ran Xu P. Mùi Haiquan Wang Caiming Xiong Silvio Savarese OffRL 34 8 0 18 Jul 2023
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation Ruida Zhou Tao-Wen Liu Min Cheng D. Kalathil P. R. Kumar Chao Tian 45 19 0 17 Jul 2023
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient Yudong Luo Guiliang Liu Pascal Poupart Yangchen Pan 43 10 0 17 Jul 2023
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models T. Westenbroek Jacob Levy David Fridovich-Keil 38 0 0 16 Jul 2023
Maneuver Decision-Making Through Automatic Curriculum Reinforcement Learning Without Handcrafted Reward functions Hong-Peng Zhang 26 2 0 12 Jul 2023
Secrets of RLHF in Large Language Models Part I: PPO Rui Zheng Shihan Dou Songyang Gao Yuan Hua Wei Shen ... Hang Yan Tao Gui Qi Zhang Xipeng Qiu Xuanjing Huang ALM OffRL 55 160 0 11 Jul 2023
TGRL: An Algorithm for Teacher Guided Reinforcement Learning Idan Shenfeld Zhang-Wei Hong Aviv Tamar Pulkit Agrawal 27 12 0 06 Jul 2023
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation Abhijeet Pendyala Justin Dettmer Tobias Glasmachers Asma Atamna OffRL 19 6 0 06 Jul 2023
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing Qiulei Wang Lei Yan Gang Hu Wenli Chen Jean Rabault B. R. Noack AI4CE 23 24 0 05 Jul 2023
$RObotic MAnipulation Network (ROMAN) $\unicode{x2013}$ Hybrid Hierarchical Learning for Solving Complex Sequential Tasks$ RObotic MAnipulation Network (ROMAN) $\unicode{x2013}$ Hybrid Hierarchical Learning for Solving Complex Sequential Tasks Eleftherios Triantafyllidis Fernando Acero Zhaocheng Liu Zhibin Li 29 0 0 30 Jun 2023
Navigation of micro-robot swarms for targeted delivery using reinforcement learning Akshatha Jagadish M. Varma 16 0 0 30 Jun 2023
Probabilistic Constraint for Safety-Critical Reinforcement Learning Weiqin Chen D. Subramanian Santiago Paternain 37 15 0 29 Jun 2023
Policy Space Diversity for Non-Transitive Games Jian Yao Weiming Liu Haobo Fu Yaodong Yang Stephen Marcus McAleer Qiang Fu Wei Yang 54 9 0 29 Jun 2023
SARC: Soft Actor Retrospective Critic Sukriti Verma Ayush Chopra J. Subramanian Mausoom Sarkar Nikaash Puri Piyush B. Gupta Balaji Krishnamurthy 18 0 0 28 Jun 2023
RL $^3$ : Boosting Meta Reinforcement Learning via RL inside RL $^2$ Abhinav Bhatia Samer B. Nashed S. Zilberstein OffRL 42 0 0 28 Jun 2023
Rethinking Closed-loop Training for Autonomous Driving Chris Zhang R. Guo Wenyuan Zeng Yuwen Xiong Binbin Dai Rui Hu Mengye Ren R. Urtasun OffRL 33 30 0 27 Jun 2023
IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors Gaurav Datta Ryan Hoque Anrui Gu Eugen Solowjow Ken Goldberg 51 3 0 27 Jun 2023
Inference for relative sparsity Samuel J. Weisenthal Sally W. Thurston Ashkan Ertefaie CML 28 0 0 25 Jun 2023
Provably Convergent Policy Optimization via Metric-aware Trust Region Methods Jun Song Niao He Lijun Ding Chaoyue Zhao 41 3 0 25 Jun 2023
Towards Optimal Pricing of Demand Response -- A Nonparametric Constrained Policy Optimization Approach Jun Song Chaoyue Zhao OffRL 17 0 0 24 Jun 2023
Correcting discount-factor mismatch in on-policy policy gradient methods Fengdi Che Gautham Vasan A. R. Mahmood OffRL 22 9 0 23 Jun 2023
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning Jinxin Liu Ziqi Zhang Zhenyu Wei Zifeng Zhuang Yachen Kang Sibo Gai Donglin Wang OffRL 33 16 0 22 Jun 2023
MP3: Movement Primitive-Based (Re-)Planning Policy Fabian Otto Hongyi Zhou Onur Celik Ge Li Rudolf Lioutikov Gerhard Neumann 29 5 0 22 Jun 2023
State-wise Constrained Policy Optimization Weiye Zhao Rui Chen Yifan Sun Tianhao Wei Changliu Liu 31 10 0 21 Jun 2023
Learning to Generate Better Than Your LLM Jonathan D. Chang Kianté Brantley Rajkumar Ramamurthy Dipendra Kumar Misra Wen Sun 27 42 0 20 Jun 2023
Learning Profitable NFT Image Diffusions via Multiple Visual-Policy Guided Reinforcement Learning Huiguo He Tianfu Wang Huan Yang Jianlong Fu N. Yuan Jian Yin Hongyang Chao Qi Zhang EGVM 40 9 0 20 Jun 2023
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL Pascal Leroy P. G. Morato J. Pisane A. Kolios D. Ernst OffRL 48 9 0 20 Jun 2023
Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers Yongqi Dong Tobias Datema Vincent Wassenaar Joris van de Weg Cahit Tolga Kopar Harim Suleman OffRL 29 0 0 20 Jun 2023