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Papers
Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning
ICLR 2025
Diffusing States and Matching Scores: A New Framework for Imitation Learning
ICLR 2025
Directly Forecasting Belief for Reinforcement Learning with Delays
ICML 2025
Efficient Imitation under Misspecification
ICLR 2025
Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation
ICML 2025
CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning
ICLR 2024
Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning
RSS 2024
Distributional Successor Features Enable Zero-Shot Policy Optimization
NeurIPS 2024
Learning with Adaptive Resource Allocation
ICML 2024
Memory-Consistent Neural Networks for Imitation Learning
ICLR 2024
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
ICLR 2024
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
ICML 2021
Variational Imitation Learning with Diverse-quality Demonstrations
ICML 2020
Efficient Reductions for Imitation Learning
AISTATS 2010