2 papers
cs.LG2020
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
Eric Liang, Zhanghao Wu, Michael Luo +3
Researchers and practitioners in the field of reinforcement learning (RL) frequently leverage parallel computation, which has led to a plethora of new algorithms and systems in the…
cs.LG2018
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning
Michael Schaarschmidt, Sven Mika, Kai Fricke +1
Reinforcement learning (RL) tasks are challenging to implement, execute and test due to algorithmic instability, hyper-parameter sensitivity, and heterogeneous distributed communic…