Imitation Learning

Expressive Whole-Body Control for Humanoid Robots RSS 2024 How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective EMNLP 2024 Imitating Language via Scalable Inverse Reinforcement Learning NeurIPS 2024 Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning NeurIPS 2024 Is Value Learning Really the Main Bottleneck in Offline RL? NeurIPS 2024 Making AI Policies Transparent to Humans through Demonstrations AAAI 2024 MeMo: Meaningful, Modular Controllers via Noise Injection NeurIPS 2024 Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition AAAI 2024 Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games NeurIPS 2024 Multi-Agent Imitation Learning: Value is Easy, Regret is Hard NeurIPS 2024 ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update ICLR 2024 Policy Improvement using Language Feedback Models NeurIPS 2024 Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NeurIPS 2024 Rating-Based Reinforcement Learning AAAI 2024 RealDex: Towards Human-like Grasping for Robotic Dexterous Hand IJCAI 2024 Recent Advancements in Inverse Reinforcement Learning AAAI 2024 Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment NeurIPS 2024 RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving AAAI 2024 RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation NeurIPS 2024 Sample-efficient Adversarial Imitation Learning JMLR 2024 SEABO: A Simple Search-Based Method for Offline Imitation Learning ICLR 2024 Simplifying Constraint Inference with Inverse Reinforcement Learning NeurIPS 2024 Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning NeurIPS 2024 Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale NeurIPS 2024 TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models ICLR 2024