File size: 1,334 Bytes
f8b9870 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 |
---
library_name: stable-baselines3
tags:
- MountainCar-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- metrics:
- type: mean_reward
value: -112.60 +/- 24.36
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: MountainCar-v0
type: MountainCar-v0
---
# **DQN** Agent playing **MountainCar-v0**
This is a trained model of a **DQN** agent playing **MountainCar-v0**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 RL Zoo)
RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo
```
# Download model and save it into the logs/ folder
python -m utils.load_from_hub --algo dqn --env MountainCar-v0 -orga sb3 -f logs/
python enjoy --algo dqn --env MountainCar-v0 -f logs/
```
## Training (with the RL Zoo)
```
python train.py --algo dqn --env MountainCar-v0 -f logs/
# Upload the model and generate video (when possible)
python -m utils.push_to_hub --algo dqn --env MountainCar-v0 -f logs/ -orga sb3
```
|