An implementation of main reinforcement learning algorithms: solo-agent and ensembled versions.
-
Updated
Feb 7, 2019 - Python
An implementation of main reinforcement learning algorithms: solo-agent and ensembled versions.
A tutorial to learn RL from examples. This is my notes from a course of Baidu PaddlePaddle. (世界冠军带你从零实践强化学习)
Deep RL on OpenAI gym environment
Application of Reinforcement Learning algorithms (DQN,DRQN,PPO,A2C) to gym's MountainCar-v0
Implementation of Reinforcement Learning Algorithms.
Implementation of RL algorithms in various environments
Tabular Q-Learning from scratch on FrozenLake 8x8 and MountainCar (Gymnasium).
To associate your repository with the mountaincar topic, visit your repo's landing page and select "manage topics."