|
--- |
|
tags: |
|
- FrozenLake-v1-4x4-no_slippery |
|
- q-learning |
|
- reinforcement-learning |
|
- custom-implementation |
|
model-index: |
|
- name: q-FrozenLake-v1-4x4-noSlippery |
|
results: |
|
- task: |
|
type: reinforcement-learning |
|
name: reinforcement-learning |
|
dataset: |
|
name: FrozenLake-v1-4x4-no_slippery |
|
type: FrozenLake-v1-4x4-no_slippery |
|
metrics: |
|
- type: mean_reward |
|
value: 1.00 +/- 0.00 |
|
name: mean_reward |
|
verified: false |
|
--- |
|
|
|
|
|
# **Q-Learning** Agent playing1 **FrozenLake-v1** |
|
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** . |
|
|
|
## Usage |
|
|
|
{'env_id': 'FrozenLake-v1', |
|
|
|
'max_steps': 99, |
|
|
|
'n_training_episodes': 10000, |
|
|
|
'n_eval_episodes': 100, |
|
|
|
'eval_seed': [], |
|
|
|
'learning_rate': 0.7, |
|
|
|
'gamma': 0.95, |
|
|
|
'max_epsilon': 1.0, |
|
|
|
'min_epsilon': 0.05, |
|
|
|
'decay_rate': 0.0005, |
|
|
|
'qtable': array([[ |
|
|
|
0.73509189, 0.77378094, 0.77378094, 0.73509189], |
|
|
|
[0.73509189, 0. , 0.81450625, 0.77378094], |
|
|
|
[0.77378094, 0.857375 , 0.77378094, 0.81450625], |
|
|
|
[0.81450625, 0. , 0.77378094, 0.77378094], |
|
|
|
[0.77378094, 0.81450625, 0. , 0.73509189], |
|
|
|
[0. , 0. , 0. , 0. ], |
|
|
|
[0. , 0.9025 , 0. , 0.81450625], |
|
|
|
[0. , 0. , 0. , 0. ], |
|
|
|
[0.81450625, 0. , 0.857375 , 0.77378094], |
|
|
|
[0.81450625, 0.9025 , 0.9025 , 0. ], |
|
|
|
[0.857375 , 0.95 , 0. , 0.857375 ], |
|
|
|
[0. , 0. , 0. , 0. ], |
|
|
|
[0. , 0. , 0. , 0. ], |
|
|
|
[0. , 0.9025 , 0.95 , 0.857375 ], |
|
|
|
[0.9025 , 0.95 , 1. , 0.9025 ], |
|
|
|
[0. , 0. , 0. , 0. ]])} |
|
|
