Reinforcement Learning

Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NeurIPS 2024 Diffusion-Reward Adversarial Imitation Learning NeurIPS 2024 DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning NeurIPS 2024 Discerning Temporal Difference Learning AAAI 2024 Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration NeurIPS 2024 Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning ICML 2024 Discovering Temporally-Aware Reinforcement Learning Algorithms ICLR 2024 Discrete Probabilistic Inference as Control in Multi-path Environments UAI 2024 Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning NeurIPS 2024 Disentangling Linear Quadratic Control with Untrusted ML Predictions NeurIPS 2024 Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation NeurIPS 2024 Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control ICML 2024 Distributional Bellman Operators over Mean Embeddings ICML 2024 Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity JMLR 2024 Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024 Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation AISTATS 2024 Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms NeurIPS 2024 Distributional Reinforcement Learning with Regularized Wasserstein Loss NeurIPS 2024 DittoGym: Learning to Control Soft Shape-Shifting Robots ICLR 2024 Diversification of Adaptive Policy for Effective Offline Reinforcement Learning IJCAI 2024 Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners NeurIPS 2024 DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors NeurIPS 2024 DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning CVPR 2024 Do no harm: A counterfactual approach to safe reinforcement learning L4DC 2024 Don’t Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024