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expert demonstration

62 papers

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imitation learning (28) reward function (16) inverse reinforcement learning (14) reinforcement learning (14) policy learning (12) policy optimization (7) apprenticeship learning (6) generative adversarial imitation learning (4) reward learning (4) deep reinforcement learning (4)

Papers

Balance Equation-based Distributionally Robust Offline Imitation Learning L4DC 2026 Behavioral Exploration: Learning to Explore via In-Context Adaptation ICML 2025 Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration ICLR 2025 Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations L4DC 2025 PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning ICLR 2025 PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations ICLR 2025 POIL:Preference Optimization for Imitation Learning ACML 2025 Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers ICLR 2025 VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems ICLR 2025 Causal Imitation for Markov Decision Processes: a Partial Identification Approach NeurIPS 2024 Confidence Aware Inverse Constrained Reinforcement Learning ICML 2024 Demonstration-Regularized RL ICLR 2024 Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis ICLR 2024 Robot Policy Learning with Temporal Optimal Transport Reward NeurIPS 2024 SEABO: A Simple Search-Based Method for Offline Imitation Learning ICLR 2024 Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NeurIPS 2024 Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning NeurIPS 2024 Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning NeurIPS 2024 ARNOLD: A Benchmark for Language-Grounded Task Learning with Continuous States in Realistic 3D Scenes ICCV 2023 Benchmarking Constraint Inference in Inverse Reinforcement Learning ICLR 2023 Data Quality in Imitation Learning NeurIPS 2023 DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching AAAI 2023 Efficient Online Reinforcement Learning with Offline Data ICML 2023 Expert Data Augmentation in Imitation Learning (Student Abstract) AAAI 2023 Invariance in Policy Optimisation and Partial Identifiability in Reward Learning ICML 2023