Igor Mordatch
収録論文 25本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- Self-Improving Embodied Foundation Models2025/9/1
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models2023/10/1
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control2023/7/28
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control2023/7/1
- PaLM-E: An Embodied Multimodal Language Model2023/3/1
- Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning2023/3/1
- Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents2023/3/1
- RT-1: Robotics Transformer for Real-World Control at Scale2022/12/1
- Implicit Offline Reinforcement Learning via Supervised Learning2022/10/1
- Inner Monologue: Embodied Reasoning through Planning with Language Models2022/7/1
- Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning2022/3/1
- Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement Learning2022/3/1
- Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents2022/1/1
- Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning2021/11/1
- Implicit Behavioral Cloning2021/9/1
- Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation2021/6/1
- Model-Based Reinforcement Learning via Latent-Space Collocation2021/6/1
- Reset-Free Lifelong Learning with Skill-Space Planning2020/12/1
- Rearrangement: A Challenge for Embodied AI2020/11/1
- A Game Theoretic Framework for Model Based Reinforcement Learning2020/4/1
- Adaptive Online Planning for Continual Lifelong Learning2019/12/1
- Model Based Planning with Energy Based Models2019/9/1
- Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control2018/11/1
- Prediction and Control with Temporal Segment Models2017/3/1
- Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model2016/10/1