A simple implementation of the Deep Q-Network used to play Atari games
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Updated
Nov 22, 2017 - Python
A simple implementation of the Deep Q-Network used to play Atari games
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ChainerRL implementation of DQN in OpenAI Gym Breakout
Simple DQN Implementation
Using Keras and Deep Q-Network to Play FlappyBird
60天深入学习强化学习
Autonomous Agents in Snake Game via Deep Reinforcement Learning
Implementation of RL algorithms to beat Atari 2600 games
Reinforcement learning algorithms and solved gym environments.
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Comparison of different Deep Reinforcement Learning (DRL) Frameworks. This repository includes "tf-agents", "RLlib" and will soon support "acme" as well.
PyTorch Implementation for a Reinforcement Learning Agent (DQN) capable of playing several DOOM Scenarios
Example DQN implementation with ReLAx
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