expert policy

Active Fine-Tuning of Multi-Task Policies ICML 2025 Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning AAAI 2025 Adversarial Imitation Learning via Boosting ICLR 2024 Behaviour Distillation ICLR 2024 Vision-Language Navigation with Energy-Based Policy NeurIPS 2024 Hierarchical Policy Blending As Optimal Transport L4DC 2023 Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning NeurIPS 2022 TaSIL: Taylor Series Imitation Learning NeurIPS 2022 Behavioral Cloning from Noisy Demonstrations ICLR 2021 Explaining fast improvement in online imitation learning UAI 2021 Robust Asymmetric Learning in POMDPs ICML 2021 Toward the Fundamental Limits of Imitation Learning NeurIPS 2020 Multi-Agent Systems of Inverse Reinforcement Learners in Complex Games IJCAI 2017 Inverse Reinforcement Learning through Structured Classification NeurIPS 2012 Inverse Reinforcement Learning in Partially Observable Environments JMLR 2011