I'm looking for academic papers or other credible sources focusing on the topic of parralelized reinforcement learning, specifically Q-learning.I'm mostly interested in methods of sharing Q-table between processes (or joining/syncing them together if each process have it's own).I'd also appreciate a brief description of method used in linked/mentioned sources.I should mention that I use neural network (PyBrain) as approximation.
Parallel Q-learning
neural network;parallel;reinforcement learning;q learning;pybrain