Proximal Policy Optimization Algorithms

20 July 2017

Papers citing "Proximal Policy Optimization Algorithms"

50 / 7,062 papers shown

Title
BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation Haiquan Wen Yiwei He Zhenglin Huang Tianxiao Li Zihan Yu Xingru Huang Lu Qi Baoyuan Wu Xuelong Li Guangliang Cheng VGen 24 0 0 19 May 2025
Dribble Master: Learning Agile Humanoid Dribbling Through Legged Locomotion Zhuoheng Wang Jinyin Zhou Qi Wu 27 0 0 19 May 2025
Effective and Transparent RAG: Adaptive-Reward Reinforcement Learning for Decision Traceability Jingyi Ren Yekun Xu Xiaolong Wang Weitao Li Weizhi Ma Yang Liu RALM 22 0 0 19 May 2025
KinTwin: Imitation Learning with Torque and Muscle Driven Biomechanical Models Enables Precise Replication of Able-Bodied and Impaired Movement from Markerless Motion Capture R. James Cotton 12 0 0 19 May 2025
J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization Austin Xu Yilun Zhou Xuan-Phi Nguyen Caiming Xiong Shafiq Joty ELM LRM 19 0 0 19 May 2025
RL in Name Only? Analyzing the Structural Assumptions in RL post-training for LLMs Soumya Rani Samineni Durgesh Kalwar Karthik Valmeekam Kaya Stechly Subbarao Kambhampati OffRL 19 0 0 19 May 2025
Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space Hengli Li Chenxi Li Tong Wu Xuekai Zhu Yuxuan Wang ... Eric Hanchen Jiang Song-Chun Zhu Zixia Jia Ying Nian Wu Zilong Zheng LRM 24 0 0 19 May 2025
Action-Dependent Optimality-Preserving Reward Shaping Grant C. Forbes Jianxun Wang Leonardo Villalobos-Arias Arnav Jhala David L. Roberts OffRL 27 0 0 19 May 2025
LiBOG: Lifelong Learning for Black-Box Optimizer Generation Jiyuan Pei Yi Mei Jialin Liu Mengjie Zhang 22 0 0 19 May 2025
A Dataless Reinforcement Learning Approach to Rounding Hyperplane Optimization for Max-Cut Gabriel Malikal Ismail R. Alkhouri Alvaro Velasquez Adam M Alessio S. Ravishankar 12 0 0 19 May 2025
Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning Wei-Chen Liao Ti-Rong Wu I-Chen Wu 24 0 0 19 May 2025
On-Policy Optimization with Group Equivalent Preference for Multi-Programming Language Understanding Haoyuan Wu Rui Ming Jilong Gao Hangyu Zhao Xueyi Chen Yikai Yang Haisheng Zheng Zhuolun He Bei Yu 26 0 0 19 May 2025
Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs Zhuo Yang Lingli Ge Dong Han Tianfan Fu Yuqiang Li 32 0 0 19 May 2025
Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization Sunghwan Kim Dongjin Kang Taeyoon Kwon Hyungjoo Chae Dongha Lee Jinyoung Yeo ALM 22 0 0 19 May 2025
A universal policy wrapper with guarantees Anton Bolychev Georgiy Malaniya Grigory Yaremenko Anastasia Krasnaya Pavel Osinenko OffRL 24 0 0 18 May 2025
UIShift: Enhancing VLM-based GUI Agents through Self-supervised Reinforcement Learning Longxi Gao Li Lyna Zhang Mengwei Xu 22 0 0 18 May 2025
DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization Gang Li Ming Lin Tomer Galanti Zhengzhong Tu Tianbao Yang 24 0 0 18 May 2025
Observe-R1: Unlocking Reasoning Abilities of MLLMs with Dynamic Progressive Reinforcement Learning Zirun Guo Minjie Hong Tao Jin OffRL LRM 27 0 0 18 May 2025
Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward Han Weng Boyi Liu Yuanfeng Song Dun Zeng Yingxiang Yang Yi Zhan Longjie Cui Xiaoming Yin Yang Sun 22 0 0 18 May 2025
Enriching Patent Claim Generation with European Patent Dataset Lekang Jiang Chengzu Li Stephan Goetz 22 0 0 18 May 2025
Design of a 3-DOF Hopping Robot with an Optimized Gearbox: An Intermediate Platform Toward Bipedal Robots JongHun Choe Gijeong Kim Hajun Kim Dongyun Kang Min-Su Kim Hae-Won Park 19 0 0 18 May 2025
SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization Minghan Chen Guikun Chen Wenguan Wang Yi Yang 19 0 0 18 May 2025
Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning Xinbin Yuan Jian Zhang K. Li Zhuoxuan Cai Lujian Yao ... Enguang Wang Qibin Hou Jinwei Chen Peng-Tao Jiang Bo Li 19 0 0 18 May 2025
UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection Yang Zhao Kai Xiong Xiao Ding Li Du YangouOuyang ... Wenbin Zhang Bin Liu Dong Hu Bing Qin Ting Liu OffRL 14 0 0 18 May 2025
Table-R1: Region-based Reinforcement Learning for Table Understanding Zhenhe Wu Jian Yang Jiaheng Liu Xianjie Wu Changzai Pan Jie Zhang Yu Zhao Shuangyong Song Yongxiang Li Zhoujun Li LMTD LRM 17 0 0 18 May 2025
Multi-CALF: A Policy Combination Approach with Statistical Guarantees Georgiy Malaniya Anton Bolychev Grigory Yaremenko Anastasia Krasnaya Pavel Osinenko 22 0 0 18 May 2025
Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines Arthicha Srisuchinnawong Poramate Manoonpong CLL LRM 29 0 0 17 May 2025
SAINT: Attention-Based Modeling of Sub-Action Dependencies in Multi-Action Policies Matthew Landers Taylor W. Killian Thomas Hartvigsen Afsaneh Doryab 32 0 0 17 May 2025
Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Credit Assignment Siliang Zeng Quan Wei William Brown Oana Frunza Yuriy Nevmyvaka Mingyi Hong LRM 24 0 0 17 May 2025
Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies Isidoros Marougkas Dhruv Metha Ramesh Joe H. Doerr Edgar Granados Aravind Sivaramakrishnan Abdeslam Boularias Kostas E. Bekris OffRL 17 0 0 17 May 2025
VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation Yiting Wang Guoheng Sun Wanghao Ye Gang Qu Ang Li OffRL 3DV LRM VLM 17 0 0 17 May 2025
CorBenchX: Large-Scale Chest X-Ray Error Dataset and Vision-Language Model Benchmark for Report Error Correction Jing Zou Qingqiu Li Chenyu Lian Lihao Liu Xiaohan Yan Shujun Wang Jing Qin VLM 19 0 0 17 May 2025
PROBE: Proprioceptive Obstacle Detection and Estimation while Navigating in Clutter Dhruv Metha Ramesh Aravind Sivaramakrishnan Shreesh Keskar Kostas E. Bekris Jingjin Yu Abdeslam Boularias 16 0 0 17 May 2025
JULI: Jailbreak Large Language Models by Self-Introspection Jesson Wang Zhanhao Hu David Wagner 17 0 0 17 May 2025
Master Rules from Chaos: Learning to Reason, Plan, and Interact from Chaos for Tangram Assembly Chao Zhao Chunli Jiang Lifan Luo Guanlan Zhang Hongyu Yu Michael Yu Wang Qifeng Chen LRM 27 0 0 17 May 2025
VisionReasoner: Unified Visual Perception and Reasoning via Reinforcement Learning Yuqi Liu Tianyuan Qu Zhisheng Zhong Bohao Peng Shu Liu Bei Yu Jiaya Jia VLM LRM 30 0 0 17 May 2025
Bench-NPIN: Benchmarking Non-prehensile Interactive Navigation Ninghan Zhong Steven Caro Avraiem Iskandar Megnath Ramesh Stephen L. Smith 17 0 0 17 May 2025
CrafText Benchmark: Advancing Instruction Following in Complex Multimodal Open-Ended World Zoya Volovikova G. Gorbov Petr Kuderov Aleksandr I. Panov A. Skrynnik 22 0 0 17 May 2025
Real-Time Verification of Embodied Reasoning for Generative Skill Acquisition Bo Yue Shuqi Guo Kaiyu Hu Chujiao Wang Benyou Wang Kui Jia Guiliang Liu LRM 32 0 0 16 May 2025
Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models Fu-Yun Wang Yunhao Shui Jingtan Piao Keqiang Sun Hongsheng Li 34 0 0 16 May 2025
Meta-World+: An Improved, Standardized, RL Benchmark Reginald McLean Evangelos Chatzaroulas Luc McCutcheon Frank Röder Tianhe Yu ... Ryan Julian Jordan Terry Isaac Woungang Nariman Farsad Pablo Samuel Castro OffRL 21 0 0 16 May 2025
HAPO: Training Language Models to Reason Concisely via History-Aware Policy Optimization Chengyu Huang Zhengxin Zhang Claire Cardie LRM 24 0 0 16 May 2025
Unifying Segment Anything in Microscopy with Multimodal Large Language Model Manyu Li Ruian He Zixian Zhang Weimin Tan Bo Yan VLM 24 0 0 16 May 2025
HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages Junyao Xing Jiaqi Zeng Olivier Delalleau Hoo-Chang Shin Felipe Soares Alexander Bukharin Ellie Evans Yi Dong Oleksii Kuchaiev 34 0 0 16 May 2025
REMOR: Automated Peer Review Generation with LLM Reasoning and Multi-Objective Reinforcement Learning Pawin Taechoyotin Daniel Acuna LRM 27 0 0 16 May 2025
Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions Kehan Long Jorge Cortés Nikolay Atanasov 22 0 0 16 May 2025
Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search Rui Liu Rui Xie Zijun Yao Yanjie Fu Dongjie Wang 12 0 0 16 May 2025
Exploration by Random Distribution Distillation Zhirui Fang Kai Yang Jian Tao Jiafei Lyu Lusong Li Li Shen Xiu Li 19 0 0 16 May 2025
Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations Wenrui Cai Chengyu Wang Junbing Yan Jun Huang Xiangzhong Fang LRM 24 0 0 16 May 2025
Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Patrick Stöckermann Henning Südfeld Alessandro Immordino Thomas Altenmüller Marc Wegmann Martin Gebser Konstantin Schekotihin Georg Seidel Chew Wye Chan Fei Fei Zhang OffRL 22 0 0 16 May 2025