Things implemented ::
- Normal taxi-gym environment and solved with Q-learning
- Vanilla DQNs
- DQNS with variants
- Double DQNs
- Dueling DQNs
- Policy based models
- Adaptive Noise Scaling
- Hill Climbing
-
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Programs on concepts that I have learnt in RL.
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