Self-tuning temperature controller using machine learning

Throughout the book, we emphasize healthy Python programming practices including interface design, type annotations, functional programming and inheritance- ...







Development of a competitive Rocket League bot using ...
The TD error is computed by adding the next best estimate Q-Value, already multiplied by the discount factor, to the reward and then subtracting the old. Q- ...
Foundations of Reinforcement Learning with Applications in Finance
6.1 Reinforcement learning. Reinforcement learning is a branch within artificial intelligence and machine learn- ing. The idea is to learn by trial and error.
Reinforcement Learning with Non-Conventional Value Function ...
In reinforcement learning the goal is to find the best (=optimal) policy, which achieves the highest cumulative reward. In finite MDPs there ...



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(corrigé ex 10 et 11 td 1 20-21.dvi)