PingPong_Reinforced

Using deep reinforcement learning to simulate games and achieving results through optimizations.
DQN optimized by adding a DDQN agent.

Name		Name	Last commit message	Last commit date
Latest commit History 24 Commits
models		models
with optimization		with optimization
DQNAgent_PongNoFrameskip-v4_alpha0.0001_500games.png		DQNAgent_PongNoFrameskip-v4_alpha0.0001_500games.png
Final_Setup_with_improv.ipynb		Final_Setup_with_improv.ipynb
README.md		README.md
RL Project report RL 15.pdf		RL Project report RL 15.pdf
Reinforcement Learning Project (Step-2) RL15.pdf		Reinforcement Learning Project (Step-2) RL15.pdf
Setup.ipynb		Setup.ipynb
deep_q_network.py		deep_q_network.py
dqn_agent.py		dqn_agent.py
main_dqn.py		main_dqn.py
preprocess_pseudocode		preprocess_pseudocode
replay_memory.py		replay_memory.py
utils.py		utils.py

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