---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
  results:
  - task:
      type: reinforcement-learning
      name: reinforcement-learning
    dataset:
      name: AntBulletEnv-v0
      type: AntBulletEnv-v0
    metrics:
    - type: mean_reward
      value: 1379.53 +/- 315.94
      name: mean_reward
      verified: false
---

**Source**: <br>
DRL course, unit6 A2C AntBullet and robot Reacher.ipynb <br>
Used as a sample of working with mujoco. <br>

# **A2C** Agent playing **AntBulletEnv-v0**
This is a trained model of a **A2C** agent playing **AntBulletEnv-v0**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).