This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.
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Updated
Feb 7, 2018 - Python
This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.
A Double Dueling Deep Q learning model for turtle bot to navigate in custom gym-gazebo maze
Dueling Deep Q learning network play Super Mario Bros
Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout
Deep reinforcement learning agent
reinforce learing
小时候练手的rl项目
A comparision between the performances of DQN and several of its variants using PyTorch and Pong.
Deep Reinforcement Learning Nanodegree Project 1
Tensorflow implementation of Reinforcement Learning methods for Atari 2600.
Deep Learning Project
Implementation of Deep Q-Networks in Pytorch
RBDoom is a Rainbow-DQN based agent for playing the first-person shooter game Doom
Deep Reinforcement Learning Nanodegree projects
PGuNN - Playing Games using Neural Networks
A repository of Q-learning based Deep Reinforcement learning algorithms, including Linear DQN, DQN with experience reply, Dueling DQN and Double Dueling DQN. Mostly tested on Gym environments.
Implementation of the bit-flipping experiment in the HER paper
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