Deep RL

Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach IJCAI 2025 Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales ICML 2025 Symmetry-Aware GFlowNets ICML 2025 SynthRL: Cross-domain Synthesizer Sound Matching via Reinforcement Learning IJCAI 2025 Table-R1: Inference-Time Scaling for Table Reasoning Tasks EMNLP 2025 Team XSZ at BioLaySumm2025: Section-Wise Summarization, Retrieval-Augmented LLM, and Reinforcement Learning Fine-Tuning for Lay Summaries ACL 2025 Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning ICML 2025 Text2World: Benchmarking Large Language Models for Symbolic World Model Generation ACL 2025 The Adaptive Q-Network for Recommendation Tasks with Dynamic Item Space AAAI 2025 The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning ICML 2025 The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards AAAI 2025 The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking ICML 2025 The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning IJCAI 2025 The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks ICML 2025 The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function AAAI 2025 The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret ICML 2025 Think Twice, Act Once: A Co-Evolution Framework of LLM and RL for Large-Scale Decision Making ICML 2025 Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves AAAI 2025 Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning AAAI 2025 Token-level Proximal Policy Optimization for Query Generation EMNLP 2025 Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch EMNLP 2025 TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning ICLR 2025 Touch2Shape: Touch-Conditioned 3D Diffusion for Shape Exploration and Reconstruction CVPR 2025 Toward Efficient Multi-Agent Exploration With Trajectory Entropy Maximization ICLR 2025 Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning ACL 2025