Self Driving Car using Deep Q-Learning Networks
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Updated
Oct 20, 2019 - Python
Self Driving Car using Deep Q-Learning Networks
Personal Deep Reinforcement Learning class notes
Reinforcement learning framework for implementing custom models on custom environments using state of the art RL algorithms
Implementation of Deep Recurrent Q-Networks for Partially Observable environment setting in Tensorflow
This project has purpose training an DQN Agent to recognize malware traffic.
Dueling Network Architecture Implementation for Deep Reinforcement Learning
Optimal drone aeronautical route calculation for making emergency delivery system using drones.
Difficult and annoying Tetris implemented by Reinforcement-Learning
Tensorflow based DQN and PyTorch based DDQN Agent for 'MountainCar-v0' openai-gym environment.
Applied Deep Learning (2019 Spring) @ NTU
Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.
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