ConceptModel-based RL
Model-Based Reinforcement Learning
A class of reinforcement learning methods in which the agent learns a model of the environment and plans and trials within internal simulations, thereby reducing the cost of interaction with the real environment.
Timeline (last 90 days)
Sep 12
Model-based Reinforcement Learning (Model-based RL) improves sample efficiency by learning a dynamic model of the environment, reducing dependence on real interactions.
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