Reinforcement Learning

29 May 2020 Olivier Buffet Olivier Pietquin Paul Weng

Reinforcement learning (RL) is a general framework for adaptive control, which has proven to be efficient in many domains, e.g., board games, video games or autonomous vehicles. In such problems, an agent faces a sequential decision-making problem where, at every time step, it observes its state, performs an action, receives a reward and moves to a new state... (read more)

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