A dummy dialog dialog system implementing traditional Reinforcement Learning algorithms like Q-Leaning and SARSA
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Updated
Dec 13, 2016 - Python
A dummy dialog dialog system implementing traditional Reinforcement Learning algorithms like Q-Leaning and SARSA
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
Given infinite possibilities, an AI agent learns the optimal path towards its goal from any starting point while avoiding obstacles.
Easy21 assignment from David Silver's RL Course at UCL
Assignments and practices from various RL cources
Introduction to Reinforcement Learning in Python
Implement some reinforcement learning algorithms, test and visualize on Pacman.
Implementation of Reinforcement Algorithms from scratch
My solution for the "Easy21" assignment of the "UCL Course on RL"
Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic
SARSA, Q-Learning, Expected SARSA, SARSA(λ) and Double Q-learning Implementation and Analysis
Deep RL toy example based on gym package with several methods
Implemented Learning to Drive a bicycle using reinforcement learning and shaping.
基于强化学习(RL)的冰壶游戏实例; 梯度下降的Sarsa(lambda) + 非均匀径向基特征表示
This is a solution for the Snake AI Environment using Tabular methods
Reversi game with multiple reinforcement learning algorithms.
Q-learning agent to solve the frozen lake problem from the OpenAI gym
Repository of Reinforcement Learning projects done during the course @sapienza
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