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Efficient Model-Based Reinforcement Learning for Robot Control via Online Optimization
Robotic Systems Lab: Legged Robotics at ETH Zürich
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Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics
Robotic Systems Lab: Legged Robotics at ETH Zürich
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37:44
MOPO: Model-Based Offline Policy Optimization
Simons Institute for the Theory of Computing
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2:51
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RSS 2021, Spotlight Talk 37: HJB-RL: Initializing Reinforcement Learning with Optimal Control...
Robotics Science and Systems
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16:03
5:29
Stepping Up | Reinforcement Learning with Spot | Boston Dynamics
Boston Dynamics
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Alan Fern – Deep Flat MDPs for Offline Model-Based Reinforcement Learning
PRL Workshop – Planning and Reinforcement Learning
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58:43
Autonomy Talks - Diego Romeres: Reinforcement Learning for Robotics
Autonomy Talks
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