

# **A2C** Agent playing **MountainCarContinuous-v0**

Custom A2C model with a frameskip that solves the MountainCarContinuous-v0 env. Training and usage details are in the 
`2.1 A2C_on_MountainCarContinuous-v0_frameskip.ipynb` jupyter notebook file.

Training progress:
![training progress](screen.jpg)

In case video demo does not show on the model card, here's a gif:
![replay](replay.gif)
{"tags": ["MountainCarContinuous-v0", "a2c", "reinforcement-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}]}]}]}
MountainCarContinuous-v0 a2c reinforcement-learning custom-implementation model-index region:us
TAGS
#MountainCarContinuous-v0 #a2c #reinforcement-learning #custom-implementation #model-index #region-us 



# A2C Agent playing MountainCarContinuous-v0

Custom A2C model with a frameskip that solves the MountainCarContinuous-v0 env. Training and usage details are in the 
'2.1 A2C_on_MountainCarContinuous-v0_frameskip.ipynb' jupyter notebook file.

Training progress:
!training progress

In case video demo does not show on the model card, here's a gif:
!replay
# A2C Agent playing MountainCarContinuous-v0

Custom A2C model with a frameskip that solves the MountainCarContinuous-v0 env. Training and usage details are in the 
'2.1 A2C_on_MountainCarContinuous-v0_frameskip.ipynb' jupyter notebook file.

Training progress:
!training progress

In case video demo does not show on the model card, here's a gif:
!replay
TAGS
#MountainCarContinuous-v0 #a2c #reinforcement-learning #custom-implementation #model-index #region-us 
 # A2C Agent playing MountainCarContinuous-v0

Custom A2C model with a frameskip that solves the MountainCarContinuous-v0 env. Training and usage details are in the 
'2.1 A2C_on_MountainCarContinuous-v0_frameskip.ipynb' jupyter notebook file.

Training progress:
!training progress

In case video demo does not show on the model card, here's a gif:
!replay
TAGS
#MountainCarContinuous-v0 #a2c #reinforcement-learning #custom-implementation #model-index #region-us 
# A2C Agent playing MountainCarContinuous-v0

Custom A2C model with a frameskip that solves the MountainCarContinuous-v0 env. Training and usage details are in the 
'2.1 A2C_on_MountainCarContinuous-v0_frameskip.ipynb' jupyter notebook file.

Training progress:
!training progress

In case video demo does not show on the model card, here's a gif:
!replay