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Playing Atari Tennis with Deep Reinforcement Learning

Introduction:

An AI agent which is able to play Atari-2600 Tennis and surpass human player
🔴Red Side: Agent
🔵Blue Side: Opponent

GamePlay

Build Requirement:

Python 3.5
Pytorch 0.4.1
CUDA version is depend on GPU
Simply Run it with python main.py

Result:

Testing average return
Test the model for 30 Games per 200 episodes during training
Testing average return per 200 episodes

Training return
Red line is the average return of every 10 episodes in the training sequence
Training return