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
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Updated
Jul 8, 2017 - Python
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
Game stat acquisition using neural networks
Deep Reinforcement Learning gym.
Collection of policy gradient based RL agents
Implementation of various Reinforcement Learning Algorithms
My pysc2 rl agent
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
RLForge: Modular, reusable implementations of Deep-RL algorithms
Autonomous Aerial Vehicle
Implementation of DQN and DDQN algorithms in Pytorch to play Atari game
🐲 Stanford CS234 : Reinforcement Learning
Reinforcement learning agent which finds a path to the goal in a grid world. This exercise was done as a coursework for course C424 at Imperial College London.
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
A tool for developing reinforcement learning algorithms focused in stock prediction
🦾 Utilizing a Deep Deterministic Policy Gradient algorithm to train robotic simulations in continuous action space
Master Thesis project that provides a training framework for two player games. TicTacToe and Othello have already been implemented.
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