Reinforcement Learning

Recent Advancements in Inverse Reinforcement Learning AAAI 2024 Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents NeurIPS 2024 Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces ICLR 2024 Reconciling Spatial and Temporal Abstractions for Goal Representation ICLR 2024 Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers NeurIPS 2024 Replay across Experiments: A Natural Extension of Off-Policy RL ICLR 2024 Representation-Based Robustness in Goal-Conditioned Reinforcement Learning AAAI 2024 Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus NeurIPS 2024 Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment NeurIPS 2024 Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization ICLR 2024 Reward Design for Justifiable Sequential Decision-Making ICLR 2024 Reward (Mis)design for Autonomous Driving (Abstract Reprint) AAAI 2024 Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024 Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint) AAAI 2024 Risk-sensitive control as inference with Rényi divergence NeurIPS 2024 RL-GPT: Integrating Reinforcement Learning and Code-as-policy NeurIPS 2024 RLIF: Interactive Imitation Learning as Reinforcement Learning ICLR 2024 Robust exploration with adversary via Langevin Monte Carlo L4DC 2024 Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning AAAI 2024 S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic ICLR 2024 Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis AAAI 2024 Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity ICLR 2024 Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight ICLR 2024 Scale-free Adversarial Reinforcement Learning COLT 2024 Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction AAAI 2024