Kai Fricke

According to our database, Kai Fricke authored at least 4 papers between 2018 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Wield: Systematic Reinforcement Learning With Progressive Randomization.

Michael Schaarschmidt, Kai Fricke, Eiko Yoneki

CoRR, 2019

RLgraph: Modular Computation Graphs for Deep Reinforcement Learning.

Michael Schaarschmidt, Sven Mika, Kai Fricke, Eiko Yoneki

Proceedings of Machine Learning and Systems 2019, 2019

2018

RLgraph: Flexible Computation Graphs for Deep Reinforcement Learning.

Michael Schaarschmidt, Sven Mika, Kai Fricke, Eiko Yoneki

CoRR, 2018

LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations.

Michael Schaarschmidt, Alexander Kuhnle, Ben Ellis, Kai Fricke, Felix Gessert, Eiko Yoneki

CoRR, 2018