Reinforcment Learning

2 posts in this tag

Note on MinMax Game

Note on MiniMax (Updating) Motivation This is a very traditional way of solving turn based game like chess or tic-tac-toc. It’s climax is Deep Blue AI in playing chess. Note, some people think about GAN training procedure as a min-max game between G and D, which is also interesting.

May 18, 2020

Note on Deep Reinforcement Learning

Reinforcement Learning deals with environment and rewards. Agents have a set of actions to interact with environment (state $s_i$), and the environment will be changed by these actions $a_j$, from time to time, there will be reward coming from environment!

Mar 20, 2020

Note on MinMax Game

Note on MiniMax (Updating) Motivation This is a very traditional way of solving turn based game like chess or tic-tac-toc. It’s climax is Deep Blue AI in playing chess. Note, some people think about GAN training procedure as a min-max game between G and D, which is also interesting.

academic note reinforcment learning machine learning AI deep learning

May 18, 2020

Note on Deep Reinforcement Learning

Reinforcement Learning deals with environment and rewards. Agents have a set of actions to interact with environment (state $s_i$), and the environment will be changed by these actions $a_j$, from time to time, there will be reward coming from environment!

academic note reinforcment learning machine learning deep learning

March 20, 2020

academic note reinforcment learning machine learning AI deep learning

(2020). Note on MinMax Game.

academic note reinforcment learning machine learning deep learning

(2020). Note on Deep Reinforcement Learning.

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