Keras implementation of DQN on ViZDoom environment
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Updated
Oct 16, 2016 - Python
Keras implementation of DQN on ViZDoom environment
Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network
RL Agents for various OpenAI Gym environments
Using deep reinforcement learning to play flappy bird. Implemented by TensorFlow.
Tensorflow implementation of asyncronous 1-step Q learning in "Asynchronous Methods for Deep Reinforcement Learning" with improvement on weight update process (use minibatch) to speed up training.
Game of Last One
Deep reinforcement learning agents for OpenAI universe environments
TensorFlow implementation of Deep Reinforcement Learning papers
Try to implement strong RL-agent
Repository hosting my solutions to OpenAI's Gym environments
Implementation based on DeepMind's paper: Neural Episodic Control using tensorflow.
Deep Q-Network implemented using tensorflow
Deep Reinforcement Learning Pong Agent, King Pong, he's the best
A collection of Deep Reinforcement Learning algorithms implemented in tensorflow. Very extensible. High performing DQN implementation.
PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
Deep Q-Networks in tensorflow
Deep Q Learning
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms
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