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Authors: Ofir Nachum, Shixiang Gu, Honglak Lee, Sergey Levine Presented for the class CS885 Xian Carrie Wu (Simons Institute) Meet the Fellows Welcome Event. This video explains the main idea and results of our recently accepted CVPR paper OraPO: Oracle-educated Keynote talk from Dr Martin Riedmiller, Research Director at Google DeepMind, at the AE Global Summit on Open Problems for AI ... PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost: Post-training for ... Pan Xu is a PhD student at UCLA. This presentation is part of the 2021 Rising Stars in
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Deep Reinforcement Learning with Real-World Data
Emma Brunskill (Stanford University): "Efficient Reinforcement Learning When Data is Costly"
Oracle-educated Reinforcement Learning forData-efficient and Factual Radiology Report Generation
Why Data-Efficient Reinforcement Learning is Central to AI - Martin Riedmiller (Google DeepMind)
Data Efficient Reinforcement learning for Autonomous Robots with Simulated and Off-policy Data
Pivot RL Explained: Efficient Reinforcement Learning for AI Agents
Tim Lillicrap - Data efficient deep reinforcement learning for continuous control
RI Seminar: Marc Deisenroth : Data-Efficient Learning for Robotics and Reinforcement Learning
Pan Xu - Data Efficient Optimization in Reinforcement Learning
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Last Updated: June 13, 2026
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