Imitation Learning

Imitation Learning via Focused Satisficing IJCAI 2025 Inverse Reinforcement Learning by Estimating Expertise of Demonstrators AAAI 2025 MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale AAAI 2025 Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning AAAI 2025 MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data CVPR 2025 ModSkill: Physical Character Skill Modularization ICCV 2025 Partial Identifiability in Inverse Reinforcement Learning for Agents with Non-Exponential Discounting AAAI 2025 POI Recommendation via Multi-Objective Adversarial Imitation Learning AAAI 2025 Residual-MPPI: Online Policy Customization for Continuous Control ICLR 2025 Robots Learning Through Physical Interactive Intelligence AAAI 2025 Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control ICCV 2025 Sample-Efficient Behavior Cloning Using General Domain Knowledge IJCAI 2025 Towards Building Human-like Smart Agents in Modern 3D Video Games (Student Abstract) AAAI 2025 What's the Move? Hybrid Imitation Learning via Salient Points ICLR 2025 When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning? AAAI 2025 Writing Like the Best: Exemplar-Based Expository Text Generation ACL 2025 Blending Imitation and Reinforcement Learning for Robust Policy Improvement ICLR 2024 Causal Imitation for Markov Decision Processes: a Partial Identification Approach NeurIPS 2024 C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NeurIPS 2024 DiffAIL: Diffusion Adversarial Imitation Learning AAAI 2024 Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning RSS 2024 Diffusion-Reward Adversarial Imitation Learning NeurIPS 2024 Do's and Don'ts: Learning Desirable Skills with Instruction Videos NeurIPS 2024 Efficient imitation learning with conservative world models L4DC 2024 Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective AAAI 2024