Reinforcement Learning

Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL NeurIPS 2024 Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling NeurIPS 2024 DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning ICML 2024 Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning AAAI 2024 Decoding-time Realignment of Language Models ICML 2024 Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning AAAI 2024 Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills AAAI 2024 Decoupling regularization from the action space ICLR 2024 Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration ICML 2024 Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers NeurIPS 2024 Deep Reinforcement Learning-based Dialogue Policy with Graph Convolutional Q-network COLING 2024 Deep Reinforcement Learning for Communication Networks AAAI 2024 Deep Reinforcement Learning for Early Diagnosis of Lung Cancer AAAI 2024 Deep Reinforcement Learning for Modelling Protein Complexes ICLR 2024 Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling ICLR 2024 Deep Reinforcement Learning with Hierarchical Action Exploration for Dialogue Generation COLING 2024 Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration ICML 2024 Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding ICLR 2024 Demonstrating Agile Flight from Pixels without State Estimation RSS 2024 Demonstrating Arena 3.0: Advancing Social Navigation in Collaborative and Highly Dynamic Environments RSS 2024 Demonstrating Language-Grounded Motion Controller RSS 2024 Demonstrating Learning from Humans on Open-Source Dexterous Robot Hands RSS 2024 Dense Reward for Free in Reinforcement Learning from Human Feedback ICML 2024 Design and Control of a Bipedal Robotic Character RSS 2024 Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning AAAI 2024