CartPole-v0

Double Q-learning with experience replay on CartPole-v0 using Keras. See algorithm on CartPole-v0.

Neural Network

_________________________________________________________________
Layer (type)                 Output Shape              Param #
=================================================================
dense_1 (Dense)              (None, 128)               640
_________________________________________________________________
dense_2 (Dense)              (None, 2)                 258
=================================================================
Total params: 898.0
Trainable params: 898
Non-trainable params: 0.0

References

• Jaromír Janisch, Let’s make a DQN: Implementation
• Jaromír Janisch, Let’s make a DQN: Debugging
• Jaromír Janisch, Let’s make a DQN: Full DQN
• Keon Kim, Deep Q Learning with Keras and Gym
• H Van Hasselt, A Guez, D Silver, Deep Reinforcement Learning with Double Q-learning
• HV Hasselt, Double Q-learning
• V Mnih, K Kavukcuoglu, D Silver, A Graves, Playing atari with deep reinforcement learning