- Interactive Imitation Learning (IIL) = IL + Human Feedback (HF)
- Machine Learning (ML)
- Reinforcement Learning (RL)
- Behavioral Cloning
- 2024/01/25 Google Mobile ALOHA: The Future of Household Robotics
- 2024/01/16 Google's Revolutionary New Robot Leaves Industry in Awe (Mobile Aloha)
- 2024/01/06 Imitation learning from human demonstrations // mobile robot - Mobile ALOHA
- 2020/04/26 Is Upside-Down Reinforcement Learning = Imitation Learning?
- Paper with Code: Imitation Learning
- CatalyzeX for imitation learning
- Stable Baseline3: Imitation Learning
- AI Perspectives: Robotics
- ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation - DeepMind, Stanford
- Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation - Stanford
- Coherent Soft Imitation Learning
- Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios - Waymo
- DexMV: Imitation Learning for Dexterous Manipulation from Human Videos
- Harmonic Mobile Manipulation
- HomeRobot: Open Vocabulary Mobile Manipulation
- Universal Manipulation Interface - In-The-Wild Robot Teaching Without In-The-Wild Robots
- Adaptive Mobile Manipulation for Articulated Objects In the Open World - CMU
- CMU: ECE 18-813B: Special Topics in Artificial Intelligence: Foundations of Reinforcement Learning
- Imitation Learning: A Survey of Learning Methods
- Foundations and Trends in Robotics: Interactive Imitation Learning in Robotics: A Survey
- Zipeng Fu - Stanford, DeepMind
- Deepak Pathak - CMU
- 2024/02/06 #CobotMagic has successfully achieved the training and inference of the #MobileAloha model！
- 2024/01/05 Googles New Robot Just SHOCKED The Entire INDUSTRY (MOBILE ALOHA)
- 감화학습스터디
- 2020/11/23 RI Seminar: Deepak Pathak : Learning to Generalize beyond Training
- 2024 Interpretable Generative Adversarial Imitation Learning
- 2024 Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking
- 2024 Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
- 2024 DiffTOP: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
- 2024 SEABO: A Simple Search-Based Method for Offline Imitation Learning
- 2024 Single-Reset Divide & Conquer Imitation Learning
- 2024 Human-inspired autonomous driving: A survey
- 2024 BridgeData V2: A Dataset for Robot Learning at Scale
- 2024 Offline Imitation Learning by Controlling the Effective Planning Horizon
- 2024 Bi-ACT: Bilateral Control-Based Imitation Learning via Action Chunking with Transformer
- 2024 Adaptive Mobile Manipulation for Articulated Objects In the Open World
- 2024 Evaluating Robustness of Visual Representations for Object Assembly Task Requiring Spatio-Geometrical Reasoning
- 2023 Data Quality in Imitation Learning
- 2023 Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators
- 2023 Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey
- 2023 Coherent Soft Imitation Learning
- 2023 Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
- 2023 Towards Learning to Imitate from a Single Video Demonstration
- 2023 A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
- 2023 End-to-end Autonomous Driving: Challenges and Frontiers
- 2022 A Motion Capture and Imitation Learning Based Approach to Robot Control
- 2021 A Survey of End-to-End Driving: Architectures and Training Methods
- 2018 An Algorithmic Perspective on Imitation Learning
- https://github.com/MarkFzp/act-plus-plus - Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
- https://github.com/google-deepmind/csil - Coherent Soft Imitation Learning
- https://github.com/Kaixhin/imitation-learning - Imitation learning algorithms
- https://github.com/Pranav-chib/End-to-End-Autonomous-Driving - A collection of recent resources on End-to-End Autonomous Driving
- https://github.com/apexrl/Imitation-Learning-Paper-Lists - Paper Collection for Imitation Learning in RL
- https://github.com/dmksjfl/SEABO - Official code for ICLR 2024 paper, SEABO: A Simple Search-Based Method for Offline Imitation Learning