Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
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Updated
Nov 13, 2021 - Python
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
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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