Reinforcement Learning

ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning AAAI 2025 Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks AAAI 2025 Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR L4DC 2025 Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies ICLR 2025 FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025 Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents AISTATS 2025 Following the Human Thread in Social Navigation ICLR 2025 Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning AAAI 2025 From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning EMNLP 2025 Full Network Capacity Framework for Sample-Efficient Deep Reinforcement Learning UAI 2025 Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects ICLR 2025 GLAM: Global-Local Variation Awareness in Mamba-based World Model AAAI 2025 Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling ICLR 2025 Grounding Video Models to Actions through Goal Conditioned Exploration ICLR 2025 Group-Agent Reinforcement Learning with Heterogeneous Agents UAI 2025 Handling Delay in Real-Time Reinforcement Learning ICLR 2025 Harnessing Causality in Reinforcement Learning with Bagged Decision Times AISTATS 2025 HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents ICLR 2025 Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning ICLR 2025 Human-Aligned Chess With a Bit of Search ICLR 2025 Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data AISTATS 2025 Infinite-Horizon Reinforcement Learning with Multinomial Logit Function Approximation AISTATS 2025 Integral Performance Approximation for Continuous-Time Reinforcement Learning Control ICLR 2025 Interaction-Aware Parameter Privacy-Preserving Data Sharing in Coupled Systems via Particle Filter Reinforcement Learning L4DC 2025 InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions CVPR 2025