reinforcement-learning

Documents about reinforcement-learning

• Dyna-Style Safety Augmented Reinforcement Learning: Staying Safe in the Face of Uncertainty#141493arXiv CS
• Maximising the Set-Piece Return: Optimising Football Corner Tactics with Graph Reinforcement Learning#259475arXiv CS
• MORL-A2C: Multi-Objective Reinforcement Learning Reranker for Optimizing Healthiness in MOPI-HFRS#299934arXiv CS
• Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets#343492arXiv CS
• Self-Adaptive Anomaly Detection with Reinforcement Learning and Human Feedback in Connected Vehicles#353081arXiv CS
• Semantic Pareto-DQN: A Multi-Objective Reinforcement Learning Framework for Financial Anomaly Detection#361435arXiv CS
• Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning#478216CiNii
• T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler#622548arXiv CS
• Two-Stage Reinforcement Learning for Sound and Adversarial Test Generation in Code LLMs#639676arXiv CS
• Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model Reasoning#158708arXiv (OAI)
• Koopman-Assisted Reinforcement Learning#189029arXiv
• Koopman-Assisted Reinforcement Learning#189079arXiv Biology
• Koopman-Assisted Reinforcement Learning#189129arXiv (OAI Expanded)
• Koopman-Assisted Reinforcement Learning#189179arXiv (OAI)
• Graph-based deep reinforcement learning for haplotype assembly with Ralphi.#247587NCBI PubMed Central
• Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses#265684Papers With Code
• AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning#335908Papers With Code
• Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning#406536Papers With Code
• Training and Evaluating Ethical Reinforcement Learning Agents on Per-Episode Distributions#609079arXiv (OAI Expanded)
• Discovering High-Quality Chess Puzzles with Offline Reinforcement Learning#609272arXiv (OAI Expanded)
• PureTD: Reinforcement Learning for Backgammon Money Games with No Evaluation-time Search#611095arXiv (OAI Expanded)
• PureTD: Reinforcement Learning for Backgammon Money Games with No Evaluation-time Search#612572arXiv (All)
• Learning to Use Tools: Reinforcement Learning for Tool-Integrated Mathematical Reasoning#618605arXiv CS
• Round-trip Reinforcement Learning: Self-Consistent Training for Better Chemical LLMs#668327arXiv (OAI Expanded)
• Round-trip Reinforcement Learning: Self-Consistent Training for Better Chemical LLMs#670392arXiv (All)
• SegBench-GC: Testing Segmentation Invariance in Multi-Step Offline Goal-Conditioned Reinforcement Learning#779602arXiv (OAI Expanded)
• State, Trait and Recovery-Related Differences in Reinforcement Learning and Value-Based Decision Making in Major Depressive Disorder#355579OSF
• Multimodal grounding in reinforcement learning for robotic navigation and manipulation using a global workspace architecture#172975HAL (France)
• Toward Convergence in Multi-Agent Reinforcement Learning: Best-Response Space Shrinking as a Sufficient Condition#309395OKAYAMA UNIVERSITY SCIENTIFIC ACHIEVEMENT REPOSITORY
• Model-based Reinforcement Learning in the Era of Foundation Models#330029HAL (France)
• Deep learning in neural networks: An overview#6396OpenAlex
• Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach#10356arXiv CS
• From $P(y|x)$ to $P(y)$: Investigating Reinforcement Learning in Pre-train Space#14001arXiv CS
• A Comparative Study of Dynamic Programming and Reinforcement Learning in Finite Horizon Dynamic Pricing#14011arXiv CS
• Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned Biases#229478arXiv CS
• SQARL: A Size-Agnostic Reinforcement Learning approach for Circuit Allocation in Distributed Quantum Architectures#229521arXiv CS
• How's it going? Reinforcement learning in language models recruits a functional welfare axis#238611arXiv CS
• Drag reduction or reward hacking? Recurrent multi-agent reinforcement learning that earns its reward#259501arXiv CS
• Why Multi-Step Tool-Use Reinforcement Learning Collapses and How Supervisory Signals Fix It#307007arXiv CS
• OOD-RL-Bench: A Benchmark Framework for Out-of-Distribution Detection in Reinforcement Learning#366277arXiv CS
• Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation#373392arXiv CS
• When Model Merging Rivals Joint Multi-Task Reinforcement Learning: A Task-Vector Geometry Analysis#381737arXiv CS
• QUADS: Stabilizing NVFP4 Reinforcement Learning for MoE via QUantization-error Alignment across Dual Sides#381767arXiv CS
• S3: Stable Subgoal Selection by Constraining Uncertainty of Coarse Dynamics in Hierarchical Reinforcement Learning#386867arXiv CS
• The Price of Reasoning: Cost-Quality Tradeoffs in Reinforcement Learning for Neural Machine Translation#386868arXiv CS
• Reward Structure Shapes the Interaction Between Episodic Exploration and Neural Memory in Reinforcement Learning#429350arXiv CS
• RRC: Unlocking Generative Reward Models in LLM Reinforcement Learning via Ranking-Based Reward Construction#432513arXiv CS
• Does Latent Context Help? A Controlled Evaluation of Inverse Reinforcement Learning in Arctic Shipping#432543arXiv CS
• PertMind: Eliciting Emergent Biological Reasoning in LLM via Reinforcement Learning on Cellular Perturbation Data#459684arXiv CS
• MLREF: Efficient Module Reuse for Reward Design in Reinforcement Learning via Large Language Models#467145arXiv CS