some intro and upcoming link to paper
Model | File | Description |
---|---|---|
DQN with Experience Replay | DQN.py |
Deep Q-network algorithm from the Deepmind Paper |
DQN_PROD.py |
Since DQN hyperparams requires a lot of memory, this use a downscaled replay memory size for production. | |
DQN with Priortized Experience Replay | DQNPER.py |
From the Prioritzed Experience Replay Paper (need ref) |
A2C | A2C.py |
Actor-Critic Algorithm in vanilla form for Atari |
A2C with Episodic Replay | A2CER.py |
Actor-Critic Algorithm with Episodic Replay Memory |
A2C with Prioritized Episodic Replay | A2CPER.py |
Actor-Critic Algorithm with Prioritized Episodic Replay Memory |
TBD