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The Top 15 Python Reinforcement Learning Double Dqn Open Source Projects

Open source projects categorized as Python Reinforcement Learning Double Dqn
Categories > Double Dqn
Categories > Machine Learning > Reinforcement Learning
Reinforcement Learning With Tensorflow ⭐ 8,174
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
most recent commit 9 months ago
Deeprl Tutorials ⭐ 726
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
most recent commit 3 years ago
Electric Vehicle Route Planning On Google Map Reinforcement Learning ⭐ 161
User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map
most recent commit a year ago
Deeprl Tensorflow2 ⭐ 139
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
most recent commit 4 years ago
Paddle Rlbooks ⭐ 108
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
most recent commit 2 years ago
Distributed_rl ⭐ 66
Pytorch implementation of distributed deep reinforcement learning
most recent commit 2 years ago
Reinforcement Learning ⭐ 33
Reinforcement Learning Examples Of Policy Gradients, PPO+GAE, and DDQN Using OpenAI Gym and PyTorch
most recent commit 6 months ago
Rl Deepqlearning Trading ⭐ 29
An RL model that uses double deep Q learning to generate an optimal policy of stock market trades
most recent commit 2 years ago
Deep Q Network Breakout ⭐ 14
This is an implementation of Deep Q Learning (DQN) playing Breakout from OpenAI's gym with Keras.
most recent commit 6 years ago
Xuance ⭐ 12
A clean framework and implementations for reinforcement learning algorithms.
most recent commit 10 months ago
Reinforceflow ⭐ 9
Deep Reinforcement Learning framework based on TensorFlow and OpenAI Gym
most recent commit 6 years ago
Deep Reinforcement Learning With Pytorch ⭐ 8
Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO
most recent commit 3 years ago
Dqn ⭐ 7
Applying the DQN-Agent from keras-rl to Starcraft 2 Learning Environment and modding it to to use the Rainbow-DQN algorithms.
most recent commit 5 years ago
Lunar Lander Double Deep Q Networks ⭐ 6
An AI agent that use Double Deep Q-learning to teach itself to land a Lunar Lander on OpenAI universe
most recent commit 3 years ago
Banana Rl ⭐ 5
Train an agent using RL to navigate (and collect bananas) in a large, square world
most recent commit 6 years ago
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