Reinforcement Learning

Instance-Dependent Confidence and Early Stopping for Reinforcement Learning JMLR 2023 Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic Objectives NeurIPS 2023 Integrating Symmetry into Differentiable Planning with Steerable Convolutions ICLR 2023 Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning CoRL 2023 Interactive Object Placement with Reinforcement Learning ICML 2023 InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback NeurIPS 2023 Internally Rewarded Reinforcement Learning ICML 2023 Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach NeurIPS 2023 Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning L4DC 2023 Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation NeurIPS 2023 Inverse Preference Learning: Preference-based RL without a Reward Function NeurIPS 2023 Inverse Reinforcement Learning for Text Summarization EMNLP 2023 Inverse Reinforcement Learning without Reinforcement Learning ICML 2023 Inverse Reinforcement Learning with the Average Reward Criterion NeurIPS 2023 Investigating the Role of Model-Based Learning in Exploration and Transfer ICML 2023 iPlanner: Imperative Path Planning RSS 2023 ISAACS: Iterative Soft Adversarial Actor-Critic for Safety L4DC 2023 Is RLHF More Difficult than Standard RL? A Theoretical Perspective NeurIPS 2023 Iteratively Learn Diverse Strategies with State Distance Information NeurIPS 2023 Iterative Reachability Estimation for Safe Reinforcement Learning NeurIPS 2023 Iterative Vision-and-Language Navigation CVPR 2023 Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging WACV 2023 Jump-Start Reinforcement Learning ICML 2023 Katakomba: Tools and Benchmarks for Data-Driven NetHack NeurIPS 2023 Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework IJCAI 2023