Proximal Policy Optimization

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Period ending 2026-09-14

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  1. Train What You Deploy:Token-Faithful Post-Training of a Production Coding

    Sep 7, 2026Cheng Li, Jiexiong Liu, Yixuan Chen +1Post-Training PipelinesProximal Policy Optimization

  2. EF1-Constrained Nash Social Welfare with Identical Additive Valuations: Complexity, Guarantees, and Experiments

    Sep 3, 2026Zih-Sian Yang, Yi-Hao Chen, Yu-Te Kuan +3Optimal Comparison AllocationNash Equilibria

  3. Multi-step Proximal Policy Improvement in Offline Reinforcement Learning

    Sep 3, 2026Soohyun Choi, Seonvin Cho, Songnam HongProximal Policy OptimizationOffline Safe Reinforcement Learning

  4. PPO-STGNN: A Proximal Policy Optimization Approach with Spatio-Temporal Graph Neural Networks for DAG Task Scheduling in Cloud-Edge-End Computing

    Sep 3, 2026Yangshuo Qi, Chenwei Wang, Zihan Shen +1Adaptive SchedulingScheduling

  5. ProxPI: Proximal Prior Injection for Sampling-Based MPC under Learned-Prior Mismatch

    Sep 1, 2026Euncheol Im, Myotaeg Lim, Yisoo LeeModel Predictive Path IntegralProximal Policy Optimization

  6. A Closed-Loop Evaluation of Capability Loss and Recovery in Compressed Driving Policies

    Sep 1, 2026Ahmad Alfan Alfian Irfan, Nur Ahmad Khatim, Mansur AriefProximal Policy OptimizationAutonomous Driving

  7. BCPPO: Bachelier-Inspired Constrained Proximal Policy Optimization for Tail-Risk-Aware Safe Reinforcement Learning

    Aug 31, 2026Dongsheng Hou, Yanqiao Chen, Yuhan RuiConditional-Value-At-RiskProximal Policy Optimization

  8. Satellite Trajectory Optimization via Proximal Policy Optimization for Space Debris Avoidance

    Aug 10, 2026Logan Luna, Juan Ortiz Couder, Raul Alejandro Vargas-AcostaCollision AvoidanceGradient-Based Trajectory Optimization

  9. Knowledge-Distilled End-to-End Reinforcement Learning for Smooth 6-DOF Thrust Control and Rapid Adaptation to Ocean Currents in Remotely Operated Vehicles

    Aug 9, 2026Tiankuang Wen, Huiping Li, Gang Liu +1Robust ControlProximal Policy Optimization

  10. SP3O: Reinforcement Learning from Segment Preferences without Reward Modeling

    Aug 3, 2026Evan Assmus, Qining Zhang, Lei YingProximal Policy OptimizationMarkov Decision Processes

  11. Start Classifying: Categorical Critics for LLM Reinforcement Learning

    Aug 3, 2026Zhijian Zhou, Long Li, Xuan Zhang +7Relative Policy OptimizationProximal Policy Optimization

  12. P3: Probabilistic Policy Propagation for Stable VAE-Based Robot Learning

    Jul 28, 2026Liyun Yan, Jianming Ma, Yang Zhang +5Proximal Policy OptimizationScalable Robot Learning

  13. Towards Robust Reinforcement Learning for Small-Scale Language Model Agents

    Jul 27, 2026Md Rezwanul Haque, Md. Milon Islam, Fakhri KarraySmall Large Language ModelsProximal Policy Optimization

  14. Approximate Quantum State Preparation Through Proximal Policy Optimization

    Jul 23, 2026Marco Mordacci, Michele AmorettiQuantumQuantum Neural Networks

  15. Safe and Scalable Multi-Drone Payload Transport via CBF-based Reinforcement Learning with Zero-Shot Sim-to-Real Transfer

    Jul 22, 2026Jaeyoun Choi, Oswin So, Songyuan Zhang +2Multi-Drone CoordinationMulti-Robot Systems

  16. SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions

    Jul 9, 2026Elham Daneshmand, Majid Khadiv, Glen Berseth +1Proximal Policy OptimizationImitation Learning

  17. MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning

    Jul 9, 2026Harrison Rush, Vincent Davis, Simone Antonelli +3BlockchainObject Placement

  18. Selective Timestep Weighting and Advantage-Based Replay for Sample-Efficient Diffusion RLHF

    Jul 8, 2026Eric Zhu, Abhinav Shrivastava, Soumik MukhopadhyayReinforcement Learning From Human FeedbackTimestep

  19. MP-MPPI: A Motion Primitive Guided Sampling-Based Optimizer for Model Predictive Control

    Jul 7, 2026Marlon Mathisen, Aksel Vaaler, Olav Egeland +1Model Predictive Path IntegralModel Predictive Control

  20. Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids

    Jul 6, 2026Omar Al-Refai, Ibrahim Shahbaz, Adam Ali Husseinat +1Smart GridsProximal Policy Optimization

  21. Anticipatory Reinforcement Learning for Trajectory Tracking

    Jul 3, 2026Georg Schäfer, Jakob Rehrl, Stefan Huber +1Model Predictive ControlProximal Policy Optimization

  22. Integrating Physics-Informed Neural Networks for Safe Reinforcement Learning in a 1-DoF Helicopter System

    Jul 3, 2026Georg Schäfer, Jakob Rehrl, Stefan HuberSafety ConstraintsProximal Policy Optimization

  23. PS-PPO: Prefix-Sampling PPO for Critic-Free RLHF

    Jun 29, 2026Doo Hwan Hwang, Kee-Eung KimReinforcement Learning From Human FeedbackActor--Critic Training

  24. PPO-EAL: Exact Augmented Lagrangian Proximal Policy Optimization for Safe Robotic Control

    Jun 26, 2026Jiatao Ding, Songqun Gao, Andrea Del Prete +1Proximal Policy OptimizationSafety Constraints

  25. EVOM: Agentic Meta-Evolution of Actor-Critic Architectures for Reinforcement Learning

    Jun 24, 2026Boyun Zhang, Chao Wang, Kai WuSoft Actor-CriticSelf-Evolving Agents

  26. KLip-PPO: A per-sample KL perspective on PPO-Clip

    Jun 22, 2026Riccardo Colletti, Robin HolzingerProximal Policy OptimizationKullback-Leibler Divergence

  27. Deep-Unfolded Coordination

    Jun 18, 2026Hunter Kuperman, Minchan Jung, Rahul V. Ghosh +2Multi-Robot SystemsDeep Unfolding Networks

  28. Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients

    Jun 16, 2026Byung-Kwan Lee, Ximing Lu, Shizhe Diao +8On-Policy DistillationProximal Policy Optimization

  29. Proximal Policy Optimization for Amortized Discrete Sampling

    Jun 14, 2026Anna Zykova-Myzina, Timofei Gritsaev, Daniil Tiapkin +1Generative Flow NetworksProximal Policy Optimization

  30. Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models

    Jun 9, 2026Bowen Ping, Xiangxin Zhou, Penghui Qi +3Proximal Policy OptimizationTraining-Inference Mismatch

  31. A Unified Multi-Modal Framework for Intelligent Financial Systems: Integrating Reinforcement Learning, High-Frequency Trading, and Game-Theoretic Approaches with Cross-Modal Sentiment Analysis

    Jun 9, 2026Fanrong Liu, Zhang Yuwei, Mingni LuoFinancial Sentiment AnalysisArbitrage

  32. Variational Proximal Policy Optimization

    Jun 6, 2026Ousmane Amadou DiaProximal Policy OptimizationPolicy Optimization

  33. Local Guidance, Global Impact: Gaussian-Reshaped Trust Region Unlocks Behavior Transitions

    Jun 2, 2026Bingxu Liu, Jiashun Liu, Johan Obando-Ceron +5Proximal Policy OptimizationTrust Region

  34. Beyond Pure Sampling: Hybrid Optimization Mechanisms for Non-Convex Model Predictive Control

    May 30, 2026Yuichiro Aoyama, Minchan Jung, Akash Ratheesh +1Model Predictive ControlProximal Policy Optimization

  35. Interpretable Policy Distillation for Power Grid Topology Control

    May 30, 2026Aleksandra Dmitruka, Karlis FreivaldsProximal Policy OptimizationOn-Policy Distillation

  36. ESPO: Early-Stopping Proximal Policy Optimization

    May 28, 2026Zihang Li, Rui Zhou, Yingcheng Shi +8Proximal Policy Optimization

  37. Bridging the Gap: Enabling Soft Actor Critic for High Performance Legged Locomotion

    May 24, 2026Gianluca Sabatini, Chenhao Li, Marco HutterProximal Policy OptimizationSoft Actor-Critic

  38. Concept Drift Adaptation Using Self-Supervised and Reinforcement Learning In Android Malware Detection

    May 22, 2026Ahmed Sabbah, Mohammad Kharma, Mohammad Alkhanafseh +3Self-Supervised LearningProximal Policy Optimization

  39. Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals

    May 21, 2026Yu Tang, Muhammad Zakwan, Efe Balta +2Flexible Job-Shop SchedulingQueueing

  40. Proximal State Nudging: Reducing Skill Atrophy from AI Assistance

    May 19, 2026Megha Srivastava, Jonathan Ouyang, Eric Zhou +6Unsupervised Skill DiscoveryHuman-To-Robot Transfer

  41. Domain-Adaptive Communication-Rate Optimization for Sim-to-Real Humanoid-Robot Wireless XR Teleoperation

    May 19, 2026Caolu Xu, Zhiyong Chen, Meixia Tao +3TeleoperationSim-To-Real Gap

  42. GAE Falls Short in Imperfect-Information Self-Play Reinforcement Learning

    May 19, 2026Zhiyuan Fan, Gabriele FarinaProximal Policy OptimizationSelf-Play

  43. Shared Backbone PPO for Multi-UAV Communication Coverage with Connection Preservation

    May 18, 2026Z. JiangMulti-Drone CoordinationProximal Policy Optimization

  44. Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation

    May 13, 2026Asim Osman, Sasha Abramowitz, Mark Bergh +13Proximal Policy OptimizationGoal-Conditioned Reinforcement Learning

  45. ERPPO: Entropy Regularization-based Proximal Policy Optimization

    May 13, 2026Changha Lee, Gyusang ChoProximal Policy OptimizationMulti-Agent Reinforcement Learning

  46. TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing

    May 12, 2026Yuanpeng Li, Gefei Lin, Annie Qu +1Multi-Task Reinforcement LearningProximal Policy Optimization

  47. Robust Multi-Agent Path Finding under Observation Attacks: A Principled Adversarial-Plus-Smoothing Training Recipe

    May 12, 2026Riad AhmedMulti-Agent Path FindingMulti-Agent Reinforcement Learning

  48. PISTO: Proximal Inference for Stochastic Trajectory Optimization

    May 8, 2026Hongzhe Yu, Zinuo Chang, Yongxin ChenGradient-Based Trajectory OptimizationProximal Policy Optimization

  49. Beyond Negative Rollouts: Positive-Only Policy Optimization with Implicit Negative Gradients

    May 7, 2026Mingwei Xu, Hao FangVerifiable RewardsPolicy Optimization

  50. ANO: A Principled Approach to Robust Policy Optimization

    May 4, 2026Yiheng Zhang, Yiming Wang, Kaiyan Zhao +3Proximal Policy OptimizationPolicy Optimization

  51. Sampling-Based Control via Entropy-Regularized Optimal Transport

    May 4, 2026Vincent Pacelli, Akash Ratheesh, Evangelos A. TheodorouModel Predictive ControlOptimal Transport

  52. PPO guided Agentic Pipeline for Adaptive Prompt Selection and Test Case Generation

    May 1, 2026Gourisetty Venkata Sai Koushik, Dama Aditya, Mahankali Harish Sai +3Test GenerationAgentic Pipeline

  53. Sample-efficient Neuro-symbolic Proximal Policy Optimization

    Apr 28, 2026Simone Murari, Celeste Veronese, Daniele MeliProximal Policy OptimizationNeurosymbolic Approach

  54. Bounded Ratio Reinforcement Learning

    Apr 20, 2026Yunke Ao, Le Chen, Bruce D. Lee +5Proximal Policy OptimizationSafe Reinforcement Learning

  55. Model Predictive Path Integral PID Control for Learning-Based Path Following

    Mar 31, 2026Teruki Kato, Koshi Oishi, Seigo ItoModel Predictive Path IntegralModel Predictive Control

  56. CycleRL: Sim-to-Real Deep Reinforcement Learning for Robust Autonomous Bicycle Control

    Mar 16, 2026Gelu Liu, Teng Wang, Zhijie Wu +3Generalizable Robot ControlSim-To-Real Gap

  57. TADPO: Reinforcement Learning Goes Off-road

    Mar 6, 2026Zhouchonghao Wu, Raymond Song, Vedant Mundheda +3Off-Policy Reinforcement LearningProximal Policy Optimization

  58. Learning Robust Penetration Testing Policies under Partial Observability: A systematic evaluation

    Sep 24, 2025Raphael Simon, Pieter Libin, Wim MeesPenetration TestingPartially Observable Markov Decision Process

  59. Policy Improvement with Style-Specific Demonstrations

    Jun 20, 2025Lingfeng Li, Yunlong Lu, Yongyi Wang +1Multi-Agent Reinforcement LearningProximal Policy Optimization

  60. Composite Reward Design in PPO-Driven Adaptive Filtering

    May 29, 2025Abdullah Burkan BereketogluEquivariant FilterNoise-Aware