Deep RL

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 Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning NeurIPS 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 DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning CVPR 2024 Double Buffers CEM-TD3: More Efficient Evolution and Richer Exploration AAAI 2024 DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems ICML 2024 DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design ICML 2024 DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback CVPR 2024 DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization ICLR 2024 DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks ICLR 2024 Dual Critic Reinforcement Learning under Partial Observability NeurIPS 2024 Dynamic Knowledge Injection for AIXI Agents AAAI 2024 Dynamic Layer Tying for Parameter-Efficient Transformers ICLR 2024 Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning NeurIPS 2024 Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification CVPR 2024 Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation COLING 2024 DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems ICML 2024 EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading AAAI 2024