2 papers
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.LG2024
Empirical Design in Reinforcement Learning
Andrew Patterson, Samuel Neumann, Martha White +1
Empirical design in reinforcement learning is no small task. Running good experiments requires attention to detail and at times significant computational resources. While compute r…