most citedThe Effect of Q-function Reuse on the Total Regret of Tabular, Model-Free, Reinforcement Learning

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cs.LG2026

Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning

Matthew Schlegel, Volodymyr Tkachuk, Adam White +1

Building and maintaining state to learn policies and value functions is critical for deploying reinforcement learning (RL) agents in the real world. Recurrent neural networks (RNNs…

cs.LG2021★ 1 cited

The Effect of Q-function Reuse on the Total Regret of Tabular, Model-Free, Reinforcement Learning

Volodymyr Tkachuk, Sriram Ganapathi Subramanian, Matthew E. Taylor

Some reinforcement learning methods suffer from high sample complexity causing them to not be practical in real-world situations. -function reuse, a transfer learning method, is…