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Bayesian Machine Learning for Controlling Autonomous Systems
Published on Nov 07, 20133123 Views
Autonomous learning has been a promising direction in control and robotics for more than a decade since learning models and controllers from data allows us to reduce the amount of engineering knowledg
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Chapter list
Bayesian Machine Learning for Controlling Autonomous Systems00:00
Motivation00:15
Outline - 102:26
Reinforcement Learning Set-up03:23
Model-based Policy Search04:26
Model Learning - 105:28
Model Learning - 205:56
Model Learning - 306:10
Model Learning - 406:30
Model Learning - 506:53
Model-based Policy Search - 107:24
Long-Term Predictions - 107:36
Long-Term Predictions - 207:58
Long-Term Predictions - 308:12
Long-Term Predictions - 408:46
Model-based Policy Search - 209:37
Policy Improvement09:54
Standard Benchmark Problem: Cart-Pole Swing-up11:25
Learning to Control an Off-the-Shelf Robot15:30
Controlling Throttle Valves in Combustion Engines17:08
Summary (1)18:41
Outline - 218:59
Bayesian Optimization for Learning Controllers19:14
Bayesian Gait Optimization for Legged Locomotion22:16
Summary (2)25:06
Wrap-up25:56