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dbmfbpi

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rssalessio / ModelFreeActiveExplorationRL

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This repository hosts the code accompanying the paper "Model-Free Active Exploration in Reinforcement Learning". Our study approaches the exploration problem in Reinforcement Learning (RL) from an information-theoretical viewpoint and presents a novel, efficient, and entirely model-free solution.

python reinforcement-learning exploration model-free best-policy-identification mfbpi dbmfbpi
  • Updated Nov 18, 2023
  • Jupyter Notebook

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