explore-rl

An exploration of reinforcement learning. The first addressed problem is preventing a pole from falling over from a cart that is moving on a frictionless surface.

Net architecture

1. Dense layer
   • input: 4
   • output: 24
   • activation: Relu
2. Dense layer
   • input: 24
   • output: 24
   • activation: Relu
3. Dense layer
   • input: 24
   • output: 24
   • activation: Relu
4. Dense layer
   • input: 24
   • output: 2
   • activation: linear

References

• Q-learning
• CartPole v0
• gsurma's solution