Deep RL

Graph Diffusion Policy Optimization NeurIPS 2024 Grounded Answers for Multi-agent Decision-making Problem through Generative World Model NeurIPS 2024 Growing Q-networks: Solving continuous control tasks with adaptive control resolution L4DC 2024 GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NeurIPS 2024 HACMan++: Spatially-Grounded Motion Primitives for Manipulation RSS 2024 Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning AAAI 2024 HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming ICML 2024 Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation CVPR 2024 Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention AAAI 2024 Hierarchical Reinforcement Learning for Point of Interest Recommendation IJCAI 2024 Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation IJCAI 2024 Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation AISTATS 2024 HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning AutoML 2024 Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search UAI 2024 Identifying Latent State-Transition Processes for Individualized Reinforcement Learning NeurIPS 2024 Identifying Policy Gradient Subspaces ICLR 2024 If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions EMNLP 2024 Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning AAAI 2024 Imitation Bootstrapped Reinforcement Learning RSS 2024 Imitation Learning from Observation with Automatic Discount Scheduling ICLR 2024 Implicit and Explicit Policy Constraints for Offline Reinforcement Learning CLeaR 2024 Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks AAAI 2024 Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks AAAI 2024 Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn NeurIPS 2024 Improving Intrinsic Exploration by Creating Stationary Objectives ICLR 2024