Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

An implementation of main reinforcement learning algorithms: solo-agent and ensembled versions.

Series of Reinforcement Learning: Q-Learning, Sarsa, SarsaLambda, Deep Q Learning(DQN)；一些列强化学习算法，玩OpenAI-gym游戏

Implementing reinforcement learning algorithms using TensorFlow and Keras in OpenAI Gym

During my Course of Ai in kiet. I was learing reinforce learning algorithm. I have implemented Q-Learnning on Frozen Lake. Great game/ also make ppt for describe code

Implement Q-Learning and DQN algorithms to solve FrozenLake problem.

OpenAI Gym (Genetic Algorithm)