The Java Reinforcement Learning Framework (JRLF) is a general framework for implementing and testing reinforcement learning algorithms in a variety of environments. The current distribution contains implementation for a variety of agents and environments. JRLF includes functionality for running batches of experiments and visualising the interaction of the agent with the environment.
References in zbMATH (referenced in 1 article )
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- Geramifard, Alborz; Dann, Christoph; Klein, Robert H.; Dabney, William; How, Jonathan P.: RLPy: a value-function-based reinforcement learning framework for education and research (2015)