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Nathan Lambert
Nathan Lambert
@natolambert·8K subscribers·27 videos

[Paper Summary] The Importance of Hyperparameter Optimization for Model-based Reinforcement Learning

Posted

March 24, 2021

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YouTube Description

as posted by the channel

This is one of those papers that changes your views on things. I knew hyper-parameters were important to deep RL and I knew that model-based RL is a more complicated system to build and deploy, but magnitude of the effects of tuning parameters in MBRL is boggling. In breaking the simulator with a really simple MBRL algorithm, you can learn a lot more about the state of the field.

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[Paper Summary] The Importance of Hyperparameter Optimization for Model-based Reinforcement Learning · Nathan Lambert · Sentinel