Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.
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Updated
Dec 12, 2018 - Python
Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.
Difficult and annoying Tetris implemented by Reinforcement-Learning
Tensorflow based DQN and PyTorch based DDQN Agent for 'MountainCar-v0' openai-gym environment.
Reinforcement learning framework for implementing custom models on custom environments using state of the art RL algorithms
This project has purpose training an DQN Agent to recognize malware traffic.
Self Driving Car using Deep Q-Learning Networks
Implementation of Deep Recurrent Q-Networks for Partially Observable environment setting in Tensorflow
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