metadata
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. ]])}