demonstrations

Active Fine-Tuning of Multi-Task Policies ICML 2025 An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs’ Sentimental Perception Capability ICML 2025 KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning CoRL 2025 Large Language Models are Demonstration Pre-Selectors for Themselves ICML 2025 Learning Utilities from Demonstrations in Markov Decision Processes ICML 2025 What Makes In-context Learning Effective for Mathematical Reasoning ICML 2025 Environment Design for Inverse Reinforcement Learning ICML 2024 Guided Reinforcement Learning for Robust Multi-Contact Loco-Manipulation CoRL 2024 How to Leverage Diverse Demonstrations in Offline Imitation Learning ICML 2024 Position: Do pretrained Transformers Learn In-Context by Gradient Descent? ICML 2024 Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning ICML 2024 What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? CoRL 2024