Deep RL

LLM-Enhanced Self-Evolving Reinforcement Learning for Multi-Step E-Commerce Payment Fraud Risk Detection ACL 2025 LLM-Powered User Simulator for Recommender System AAAI 2025 LLMSR@XLLM25: A Language Model-Based Pipeline for Structured Reasoning Data Construction ACL 2025 LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations CoRL 2025 Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions AAAI 2025 Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning AAAI 2025 Look Again, Think Slowly: Enhancing Visual Reflection in Vision-Language Models EMNLP 2025 Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling ACL 2025 LSRL: Process-Supervised GRPO on Latent Recurrent States Improves Mathematical Reasoning EMNLP 2025 M^3PC: Test-time Model Predictive Control using Pretrained Masked Trajectory Model ICLR 2025 MA$^2$E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder ICLR 2025 Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models ACL 2025 Marginal Benefit Driven RL Teacher for Unsupervised Environment Design AAAI 2025 Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer ICML 2025 Maximum Entropy Reinforcement Learning with Diffusion Policy ICML 2025 MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization ICLR 2025 MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity COLING 2025 Med-VRAgent: A Framework for Medical Visual Reasoning-Enhanced Agents EMNLP 2025 Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents JMLR 2025 MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning ICML 2025 MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning AAAI 2025 Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications L4DC 2025 Misspecified Q-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error ICLR 2025 Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn ICML 2025 ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning AAAI 2025