inverse reinforcement learning

Extracting Reward Functions from Diffusion Models NeurIPS 2023 Identifiability and Generalizability in Constrained Inverse Reinforcement Learning ICML 2023 Imitation Learning As State Matching via Differentiable Physics CVPR 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 Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations NeurIPS 2023 Learning Shared Safety Constraints from Multi-task Demonstrations NeurIPS 2023 Learning Soft Constraints From Constrained Expert Demonstrations ICLR 2023 LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning ICLR 2023 Misspecification in Inverse Reinforcement Learning AAAI 2023 Multi-Agent Learning from Learners ICML 2023 Multi-task Hierarchical Adversarial Inverse Reinforcement Learning ICML 2023 Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems JMLR 2023 Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons ICML 2023 The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types AAAI 2023 Towards Theoretical Understanding of Inverse Reinforcement Learning ICML 2023 Transferable Curricula through Difficulty Conditioned Generators IJCAI 2023 When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning NeurIPS 2023 Active Exploration for Inverse Reinforcement Learning NeurIPS 2022 Admissible Policy Teaching through Reward Design AAAI 2022 A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines ICML 2022 Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning ICML 2022 Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning ICML 2022 Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems NeurIPS 2022