metadata
license: apache-2.0
tags:
- reinforcement-learning
- stable-baselines3
- dqn
library_name: stable-baselines3
task: reinforcement-learning
model-index:
- name: DQN LunarLander Agent
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
metrics:
- type: mean_reward
value: 200
DQN LunarLander-v2 Agent
This model was trained using Deep Q-Network (DQN) from Stable-Baselines3 on the LunarLander-v2 environment.
Environment
- Name: LunarLander-v2
- Observation Space: 8-dimensional continuous state
- Action Space: 4 discrete actions
Algorithm
- DQN (Deep Q-Network)
- Library: Stable-Baselines3
Model File
The trained model is saved as:
model.zip
How to Load the Model
from stable_baselines3 import DQN
model = DQN.load("model")