PER: Prioritized Experience Replay
DQN: Deep Q-network
- Plain Q-learning to solve Frozenlake environment
- DQN for Cartpole
- DQN with PER
- Double DQN (DDQN) for Breakout (an Atari 2600 game)
- DDQN with PER
- Dueling DQN with PER
- A2C
- A3C
Learning aim: Getting familiarized in basic concepts of RL in order to apply them to my research involving medical imaging.
Requirements: I used Tensorflow (1.9) and Gym (0.9.6).