There are 1 repository under reinforcement-agents topic.
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
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
Implementation of various Reinforcement Learning Algorithms
🐲 Stanford CS234 : Reinforcement Learning
Master Thesis project that provides a training framework for two player games. TicTacToe and Othello have already been implemented.
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
Autonomous Aerial Vehicle
Game stat acquisition using neural networks
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.
Implementation of DQN and DDQN algorithms in Pytorch to play Atari game
🦾 Utilizing a Deep Deterministic Policy Gradient algorithm to train robotic simulations in continuous action space
My pysc2 rl agent
Deep Reinforcement Learning gym.