---
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

```python
from stable_baselines3 import DQN

model = DQN.load("model")