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Model-based Reinforcement Learning with Parametrized Physical Models and Optimism-Driven Exploration.
Christopher Xie
Sachin Patil
Teodor Mihai Moldovan
Sergey Levine
Pieter Abbeel
Published in:
CoRR (2015)
Keyphrases
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model based reinforcement learning
physical models
markov decision processes
shape from shading
three dimensional
experimental data
reinforcement learning
phase space
statistical models
machine learning
feature selection
sufficient conditions
dynamical systems
markov decision problems