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Invited talk: Peter Stone "Grounded Simulation Learning for Sim2Real with Connections to Off-Policy Reinforcement Learning"
Peter Stone

Fri Dec 11 11:00 AM -- 11:30 AM (PST) @
in Deep Reinforcement Learning »

For autonomous robots to operate in the open, dynamically changing world, they will need to be able to learn a robust set of skills from relatively little experience. This talk introduces Grounded Simulation Learning as a way to bridge the so-called reality gap between simulators and the real world in order to enable transfer learning from simulation to a real robot. Grounded Simulation Learning has led to the fastest known stable walk on a widely used humanoid robot. Connections to theoretical advances in off-policy reinforcement learning will be highlighted.

Author Information

Peter Stone (The University of Texas at Austin)

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