Robert Lange

TalkRL: The Reinforcement Learning Podcast

Robert Tjarko Lange is a PhD student working at the Technical University Berlin.

Featured References

Learning not to learn: Nature versus nurture in silico
Lange, R. T., & Sprekeler, H. (2020)

On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
Vischer, M. A., Lange, R. T., & Sprekeler, H. (2021).

Semantic RL with Action Grammars: Data-Efficient Learning of Hierarchical Task Abstractions
Lange, R. T., & Faisal, A. (2019).

MLE-Infrastructure on Github


Additional References

• RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning, Duan et al 2016
• Learning to reinforcement learn, Wang et al 2016
• Decision Transformer: Reinforcement Learning via Sequence Modeling, Chen et al 2021