robot learning

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1. 1▶Dieter Fox: Toward Foundation Models for Competent Robots [ETHZ Robot Learning 2026]Guest Lectures - ETHZ Robot Learning Course 2026Notes
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2. 2▶Robot Learning 2026 – Lecture 11: Frontier & Open Problems | ETH ZürichMain Lectures - ETHZ Robot Learning Course 2026Notes
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3. 3▶Robot Learning 2026 – Lecture 10: Embodied Reasoning and Test-time Scaling | ETH ZürichMain Lectures - ETHZ Robot Learning Course 2026Notes
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4. 4▶Robot Learning 2026 – Lecture 9: Generalist Robot Policies | ETH ZürichMain Lectures - ETHZ Robot Learning Course 2026Notes
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5. 5▶Robot Learning 2026 – Lecture 8: World Models | ETH ZürichMain Lectures - ETHZ Robot Learning Course 2026Notes
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6. 6▶Robot Learning 2026 – Lecture 7: Sequence Modeling & Transformers | ETH ZürichMain Lectures - ETHZ Robot Learning Course 2026Notes
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7. 7▶Robot Learning 2026 – Lecture 6: Generative Models | ETH ZürichMain Lectures - ETHZ Robot Learning Course 2026Notes
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8. 8▶Robot Learning 2026 – Lecture 5: Reinforcement Learning II | ETH ZürichMain Lectures - ETHZ Robot Learning Course 2026Notes
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9. 9▶Robot Learning 2026 – Lecture 4: Reinforcement Learning I | ETH ZürichMain Lectures - ETHZ Robot Learning Course 2026Notes
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10. 10▶Robot Learning 2026 – Lecture 3: Imitation Learning | ETH ZürichMain Lectures - ETHZ Robot Learning Course 2026Notes
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11. 11▶Robot Learning 2026 – Lecture 2: Robot Control & Markov Decision Processes | ETH ZürichMain Lectures - ETHZ Robot Learning Course 2026Notes
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12. 12▶Lucas Beyer: Vision in the Age of LLMs [ETHZ Robot Learning 2026]Guest Lectures - ETHZ Robot Learning Course 2026Notes
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13. 13▶Archit Sharma: Scaling Test-Time Compute at the Frontier [ETHZ Robot Learning 2026]Guest Lectures - ETHZ Robot Learning Course 2026Notes
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14. 14▶Abishek Gupta: Simulation for Robotic Manipulation, without the Pain [ETHZ Robot Learning 2026]Guest Lectures - ETHZ Robot Learning Course 2026Notes
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15. 15▶Quan Vuong: π0.7, A Generalist Model with Emergent Capabilities [ETHZ Robot Learning 2026]Guest Lectures - ETHZ Robot Learning Course 2026Notes
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16. 16▶Scott Reed: What is the right Backbone for Embodied Agents? [ETHZ Robot Learning 2026]Guest Lectures - ETHZ Robot Learning Course 2026Notes
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17. 17▶Ted Xiao: Three Eras of Robot Learning [ETHZ Robot Learning 2026]Guest Lectures - ETHZ Robot Learning Course 2026Notes
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18. 18▶Cheng Chi: Robotics Beyond Algorithms [ETHZ Robot Learning 2026]Guest Lectures - ETHZ Robot Learning Course 2026Notes
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19. 19▶Andrew Wagenmaker: Robots That Learn From Experience [ETHZ Robot Learning 2026]Guest Lectures - ETHZ Robot Learning Course 2026Notes
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20. 20▶Aviral Kumar: How to Replicate the LLM Recipe in Robot Learning [ETHZ Robot Learning 2026]Guest Lectures - ETHZ Robot Learning Course 2026Notes
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21. 21▶RobotLearning: Scaling Continuous Deep QLearning Part1Robot Learning 2025: Foundational Models for Robotics and Scaling DeepRLNotes
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22. 22▶Robot Learning 2025: Unlocking Scalable Robot Learning in the Real World with Karl PertschRobot Learning 2025: Foundational Models for Robotics and Scaling DeepRLNotes
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23. 23▶RobotLearning: Scaling Deep Q-Learning Part2Robot Learning 2025: Foundational Models for Robotics and Scaling DeepRLNotes
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24. 24▶RobotLearning: Scaling Deep Q-Learning Part1Robot Learning 2025: Foundational Models for Robotics and Scaling DeepRLNotes
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25. 25▶RobotLearning: Scaling Policy Gradients Part 2Robot Learning 2025: Foundational Models for Robotics and Scaling DeepRLNotes
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26. 26▶RobotLearning: Scaling PolicyGradients Part 1Robot Learning 2025: Foundational Models for Robotics and Scaling DeepRLNotes
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27. 27▶Robot Learning: Methods and Considerations for Scaling Data CollectionRobot Learning 2025: Foundational Models for Robotics and Scaling DeepRLNotes
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28. 28▶Robot Learning: Learning Reward Models and Using Foundational Models for RewardsRobot Learning 2025: Foundational Models for Robotics and Scaling DeepRLNotes
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29. 29▶RobotLearning Learning2Plan With Large Models Part2Robot Learning 2025: Foundational Models for Robotics and Scaling DeepRLNotes
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30. 30▶RobotLearning Learning2Plan With Large ModelsRobot Learning 2025: Foundational Models for Robotics and Scaling DeepRLNotes
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31. 31▶Interactive Learning of Parsers from Weak SupervisionInteractive LearningNotes
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32. 32▶Robot Learning, Interaction and Reliable AutonomyInteractive LearningNotes
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33. 33▶Robots Learning from Human InteractionsInteractive LearningNotes
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34. 34▶Sample-Efficient Reinforcement Learning with Rich ObservationsInteractive LearningNotes
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35. 35▶Robot Learning from Motor-Impaired Teachers and Task PartnersInteractive LearningNotes
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36. 36▶Interactive Language Learning from the ExtremesInteractive LearningNotes
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37. 37▶Active Learning for Multidimensional Experimental Spaces of Biological ResponsesInteractive LearningNotes
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38. 38▶Active Learning Beyond Label FeedbackInteractive LearningNotes
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39. 39▶Crowdsourcing and Machine LearningInteractive LearningNotes
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40. 40▶Interactive ClusteringInteractive LearningNotes
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