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. ]])}