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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.
Difficult and annoying Tetris implemented by Reinforcement-Learning
Tensorflow based DQN and PyTorch based DDQN Agent for 'MountainCar-v0' openai-gym environment.
Personal Deep Reinforcement Learning class notes
This project has purpose training an DQN Agent to recognize malware traffic.
Optimal drone aeronautical route calculation for making emergency delivery system using drones.
Self Driving Car using Deep Q-Learning Networks
Implementation of Deep Recurrent Q-Networks for Partially Observable environment setting in Tensorflow
Dueling Network Architecture Implementation for Deep Reinforcement Learning