v1v2v3v4v5v6 (latest)

High-Dimensional Continuous Control Using Generalized Advantage Estimation

8 June 2015

Pieter Abbeel

Papers citing "High-Dimensional Continuous Control Using Generalized Advantage Estimation"

50 / 77 papers shown

Title
What Can RL Bring to VLA Generalization? An Empirical Study Jijia Liu Feng Gao Bingwen Wei Xinlei Chen Qingmin Liao Yi Wu Chao Yu Yu Wang OffRL 243 0 0 26 May 2025
VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning Guanxing Lu Wenkai Guo Chubin Zhang Yuheng Zhou Haonan Jiang Zifeng Gao Yansong Tang Ziwei Wang OffRL 100 0 0 24 May 2025
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning Fanqi Wan Weizhou Shen Shengyi Liao Yingcheng Shi Chenliang Li Ziyi Yang Ji Zhang Fei Huang Jingren Zhou Ming Yan OffRL LLMAG ReLM LRM 92 0 0 23 May 2025
Navigate the Unknown: Enhancing LLM Reasoning with Intrinsic Motivation Guided Exploration Jingtong Gao Ling Pan Yejing Wang Rui Zhong Chi Lu Qingpeng Cai Peng Jiang Xiangyu Zhao LRM 69 1 0 23 May 2025
Towards Analyzing and Understanding the Limitations of VAPO: A Theoretical Perspective Jintian Shao YiMing Cheng Hongyi Huang Beiwen Zhang ZhiYu Wu You Shan Mingkai Zheng LRM 71 0 0 23 May 2025
PPO-BR: Dual-Signal Entropy-Reward Adaptation for Trust Region Policy Optimization Ben Rahman 63 0 0 23 May 2025
Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models Guanghao Zhou Panjia Qiu Chong Chen Jiadong Wang Zheming Yang Jian Xu Minghui Qiu OffRL LRM 172 8 0 30 Apr 2025
SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning Jiaqi Chen Bang Zhang Ruotian Ma Peisong Wang Xiaodan Liang Zhaopeng Tu Xuzhao Li Kwan-Yee K. Wong LLMAG ReLM LRM 143 5 0 27 Apr 2025
Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers Shuang Wang Haoyang Zhang Tianxing Wu Yize Zhang W. Zhang Quan Z. Sheng 60 0 0 27 Apr 2025
RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning Zihan Wang Kaidi Wang Q. Wang Pingyue Zhang Linjie Li ... Jiajun Wu L. Fei-Fei Lijuan Wang Yejin Choi Manling Li 205 30 0 24 Apr 2025
MARFT: Multi-Agent Reinforcement Fine-Tuning Junwei Liao Muning Wen Jun Wang Weinan Zhang OffRL 117 5 0 21 Apr 2025
RAISE: Reinforced Adaptive Instruction Selection For Large Language Models Lv Qingsong Yangning Li Zihua Lan Zishan Xu Jiwei Tang Hai-Tao Zheng Wenhao Jiang Wanshi Xu Philip S. Yu 159 2 0 09 Apr 2025
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Yu Yue Yufeng Yuan Qiying Yu Xiaochen Zuo Ruofei Zhu ... Ru Zhang Xin Liu Mingxuan Wang Yonghui Wu Lin Yan OffRL LRM 117 38 0 07 Apr 2025
Concise Reasoning via Reinforcement Learning Mehdi Fatemi Banafsheh Rafiee Mingjie Tang Kartik Talamadupula ReLM OffRL LRM 132 17 0 07 Apr 2025
Reinforcement Learning-based Token Pruning in Vision Transformers: A Markov Game Approach Chenglong Lu Shen Liang Xiang Wang Wei Wang ViT OffRL 126 0 0 30 Mar 2025
Adaptive Group Policy Optimization: Towards Stable Training and Token-Efficient Reasoning Chen Li Nazhou Liu Kai Yang 110 10 0 20 Mar 2025
Quantization-Free Autoregressive Action Transformer Ziyad Sheebaelhamd Michael Tschannen Michael Muehlebach Claire Vernade 90 1 0 18 Mar 2025
DAPO: An Open-Source LLM Reinforcement Learning System at Scale Qiying Yu Zheng Zhang Ruofei Zhu Yufeng Yuan Xiaochen Zuo ... Ya Zhang Lin Yan Mu Qiao Yonghui Wu Mingxuan Wang OffRL LRM 200 213 0 18 Mar 2025
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning Bowen Jin Hansi Zeng Zhenrui Yue Dong Wang Sercan O. Arik Dong Wang Hamed Zamani Jiawei Han RALM ReLM KELM OffRL AI4TS LRM 200 120 0 12 Mar 2025
Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach Steeven Janny Hervé Poirier L. Antsfeld G. Bono G. Monaci Boris Chidlovskii Francesco Giuliari Alessio Del Bue Christian Wolf LM&Ro 167 0 0 11 Mar 2025
Multi-Fidelity Policy Gradient Algorithms Xinjie Liu Cyrus Neary Kushagra Gupta Christian Ellis Ufuk Topcu David Fridovich-Keil OffRL 464 0 0 07 Mar 2025
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents Taiyi Wang Zhihao Wu Jianheng Liu Jianye Hao Jun Wang Kun Shao OffRL 104 29 0 24 Feb 2025
Simplify RLHF as Reward-Weighted SFT: A Variational Method Yuhao Du Zehan Li Pengyu Cheng Zhihong Chen Yuejiao Xie Xiang Wan Anningzhe Gao 108 1 0 20 Feb 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Hang Su Songming Liu Dong Yan Jun Zhu 217 3 0 17 Feb 2025
C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation Guoxin Chen Minpeng Liao Peiying Yu Dingmin Wang Zile Qiao Chao Yang Xin Zhao Kai Fan 93 1 0 10 Feb 2025
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning Kaixi Bao Chenhao Li Yarden As Andreas Krause Marco Hutter OffRL CLL 221 1 0 03 Feb 2025
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning Zehan Qi Xiao-Chang Liu Iat Long Iong Hanyu Lai Xingwu Sun ... Shuntian Yao Tianjie Zhang Wei Xu J. Tang Yuxiao Dong 172 40 0 28 Jan 2025
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model Yuhang Zang Xiaoyi Dong Pan Zhang Yuhang Cao Ziyu Liu ... Haodong Duan Wentao Zhang Kai Chen Dahua Lin Jiaqi Wang VLM 191 25 0 21 Jan 2025
Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning Ahmed Alagha Jamal Bentahar Hadi Otrok Shakti Singh R. Mizouni 101 3 0 19 Jan 2025
RoboHorizon: An LLM-Assisted Multi-View World Model for Long-Horizon Robotic Manipulation Zixuan Chen Jing Huo Yangtao Chen Yang Gao 136 4 0 11 Jan 2025
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing Vernon Luk Jean Oh 149 1 0 16 Dec 2024
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Zhiwei Jia Yuesong Nan Huixi Zhao Gengdai Liu EGVM 159 1 0 22 Nov 2024
Fine-Grained Reward Optimization for Machine Translation using Error Severity Mappings Miguel Moura Ramos Tomás Almeida Daniel Vareta Filipe Azevedo Sweta Agrawal Patrick Fernandes André F. T. Martins 104 4 0 08 Nov 2024
Embedding Safety into RL: A New Take on Trust Region Methods Nikola Milosevic Johannes Müller Nico Scherf 92 2 0 05 Nov 2024
L3Ms -- Lagrange Large Language Models Guneet S. Dhillon Xingjian Shi Yee Whye Teh Alex Smola 441 0 0 28 Oct 2024
Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization Xiyue Peng Hengquan Guo Jiawei Zhang Dongqing Zou Ziyu Shao Honghao Wei Xin Liu 102 3 0 25 Oct 2024
Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization Guanlin Liu Kaixuan Ji Ning Dai Zheng Wu Chen Dun Q. Gu Lin Yan Quanquan Gu Lin Yan OffRL LRM 117 13 0 11 Oct 2024
Cooperative and Asynchronous Transformer-based Mission Planning for Heterogeneous Teams of Mobile Robots Milad Farjadnasab Shahin Sirouspour 94 0 0 08 Oct 2024
Improving Unsupervised Constituency Parsing via Maximizing Semantic Information Junjie Chen Xiangheng He Yusuke Miyao Danushka Bollegala 84 0 0 03 Oct 2024
Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning Xingyu Wang Jin Zhou Yuanli Feng Jiahao Mei Jiming Chen Shuo Li 81 1 0 25 Sep 2024
Human-Robot Cooperative Distribution Coupling for Hamiltonian-Constrained Social Navigation Weizheng Wang Chao Yu Yu Wang Byung-Cheol Min 395 2 0 20 Sep 2024
HUMOS: Human Motion Model Conditioned on Body Shape Shashank Tripathi Omid Taheri Christoph Lassner Michael J. Black Daniel Holden Carsten Stoll 3DH DiffM 120 8 0 05 Sep 2024
Efficient Multi-agent Navigation with Lightweight DRL Policy Xingrong Diao Jiankun Wang 97 0 0 29 Aug 2024
What makes math problems hard for reinforcement learning: a case study Ali Shehper A. Medina-Mardones Lucas Fagan Angus Gruen Piotr Kucharski Sergei Gukov Piotr Kucharski Zhenghan Wang Sergei Gukov 59 3 0 27 Aug 2024
A Survey on Self-play Methods in Reinforcement Learning Chao Yu Zelai Xu Chengdong Ma Chao Yu Weijuan Tu ... Deheng Ye Wenbo Ding Yaodong Yang Yu Wang Yu Wang SyDa SSL OnRL 100 9 0 02 Aug 2024
SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning Jianpeng Yao Xiaopan Zhang Yu Xia Zejin Wang Amit K. Roy-Chowdhury Jiachen Li 221 2 0 24 Jul 2024
RoboMorph: Evolving Robot Morphology using Large Language Models Kevin Qiu Krzysztof Ciebiera Krzysztof Ciebiera Marek Cygan Marek Cygan Łukasz Kuciński LM&Ro 124 1 0 11 Jul 2024
Gradient Boosting Reinforcement Learning Benjamin Fuhrer Chen Tessler Gal Dalal OffRL AI4CE 153 3 0 11 Jul 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 100 4 0 09 Jul 2024
Advantage Alignment Algorithms Juan Agustin Duque Milad Aghajohari Tim Cooijmans Tianyu Zhang Rameswar Panda Gauthier Gidel Aaron Courville 58 2 0 20 Jun 2024