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CartPole-v1
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| Tabular Q-Learning on CartPole-v1: | |
| Utilized code from Berkeley's CS188 Q-Learning project | |
| Discretized the state space from continuous values | |
| #cart_x, cart_velocity, pole_theta, pole_velocity | |
| [5,10,20,10] | |
| Introduced an epsilon decay to offer a transition between early exploration and late exploitation | |
| Q-Learning Parameters: | |
| epsilon = 1.0 | |
| alpha = .4 | |
| gamma = .997 | |
| epsilon_decay = .997 | |
| alpha_decay = 1.0 |
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