inverse reinforcement learning

Imitation by Predicting Observations ICML 2021 Inverse Constrained Reinforcement Learning ICML 2021 Inverse Reinforcement Learning From Like-Minded Teachers AAAI 2021 Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees NeurIPS 2021 Inverse Reinforcement Learning with Explicit Policy Estimates AAAI 2021 Inverse Reinforcement Learning with Natural Language Goals AAAI 2021 IQ-Learn: Inverse soft-Q Learning for Imitation NeurIPS 2021 Iterative Teacher-Aware Learning NeurIPS 2021 Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms JMLR 2021 Learning Rewards From Linguistic Feedback AAAI 2021 Learning to Recommend from Sparse Data via Generative User Feedback AAAI 2021 Learning "What-if" Explanations for Sequential Decision-Making ICLR 2021 Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning EMNLP 2021 MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning ICCV 2021 Objective-aware Traffic Simulation via Inverse Reinforcement Learning IJCAI 2021 Provably Efficient Learning of Transferable Rewards ICML 2021 PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning ICML 2021 Regularized Inverse Reinforcement Learning ICLR 2021 Reward Identification in Inverse Reinforcement Learning ICML 2021 Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch NeurIPS 2021 Scalable Bayesian Inverse Reinforcement Learning ICLR 2021 Uncertain Decisions Facilitate Better Preference Learning NeurIPS 2021 When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence AISTATS 2021 XIRL: Cross-embodiment Inverse Reinforcement Learning CoRL 2021 Deep Inverse Q-learning with Constraints NeurIPS 2020