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---
tags:
- MountainCarContinuous-v0
- a2c
- a2c-learning
- custom-implementation
model-index:
- name: A2C-MountainCarContinuous-v0
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: MountainCarContinuous-v0
type: MountainCarContinuous-v0
metrics:
- type: mean_reward
value: 90.98 +/- 3.32
name: mean_reward
verified: false
---
# **A2C** Agent playing **MountainCarContinuous-v0**
Custom A2C model with a frameskip that solves the MountainCarContinuous-v0 env. Trainig and usage details are in the
`2.1 A2C_on_MountainCarContinuous-v0_frameskip.ipynb` jupyter notebook file.
Training progress:
For some reason agent video demo does not show on the model card, so here's a gif:
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