DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
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Updated
Dec 18, 2020 - Jupyter Notebook
DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
The implement of all kinds of dqn reinforcement learning with Pytorch
Play Atari(Breakout) Game by DRL - DQN, Noisy DQN and A3C
Implementation and evaluation of the RL algorithm Rainbow to learn to play Atari games.
Minimum viable reinforcement learning algorithms for your educational convenience.
Tensorflow - Keras /PyTorch Implementation ⚡️ of State-of-the-art DeepQN for RL Gym benchmarks 👨💻
Develop an AI player of Atari Skiing with deep reinforcement learning
Example Noisy DQN implementation with ReLAx
Example Rainbow DQN implementation with ReLAx
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