deep-Q-networks
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Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
deep-Q-networks
Implementation of algorithms from the Q-learning family
Check /ipynb for jupiter notebooks of implementations
Implemented:
- Vanilla DQN
- Double DQN
- Dueling DQN
- Prioritized experience replay + DDQN
- Noisy DQN (in progress)
- C51 Categorical DQN (in progress)
- DRQN with Gated Recurrent Units (in progress)
Dependencies:
- PyTorch = 0.4.1
- Python = 3.6
- Gym = 0.12.5
Associated Papers:
To be added