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EPISODE · Dec 20, 2021 · 1H 10M

Robert Lange

from TalkRL: The Reinforcement Learning Podcast · host Robin Ranjit Singh Chauhan

Robert Tjarko Lange is a PhD student working at the Technical University Berlin.Featured ReferencesLearning not to learn: Nature versus nurture in silicoLange, R. T., & Sprekeler, H. (2020)On Lottery Tickets and Minimal Task Representations in Deep Reinforcement LearningVischer, M. A., Lange, R. T., & Sprekeler, H. (2021). Semantic RL with Action Grammars: Data-Efficient Learning of Hierarchical Task AbstractionsLange, R. T., & Faisal, A. (2019).MLE-Infrastructure on GithubAdditional ReferencesRL^2: Fast Reinforcement Learning via Slow Reinforcement Learning, Duan et al 2016Learning to reinforcement learn, Wang et al 2016Decision Transformer: Reinforcement Learning via Sequence Modeling, Chen et al 2021

Robert Lange on learning vs hard-coding, meta-RL, Lottery Tickets and Minimal Task Representations, Action Grammars and more!

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Robert Lange

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This episode is 1 hour and 10 minutes long.

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This episode was published on December 20, 2021.

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Robert Tjarko Lange is a PhD student working at the Technical University Berlin.Featured ReferencesLearning not to learn: Nature versus nurture in silicoLange, R. T., & Sprekeler, H. (2020)On Lottery Tickets and Minimal Task Representations in Deep...

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