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RND-SuperMarioBros-v0
hishamcse/RND-SuperMarioBros-v0
RND-SuperMarioBros-v0 is a reinforcement learning model from hishamcse. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product.
This is a trained model of a RND-CNN agent playing SuperMarioBros-v0 . To learn to use this model and train yours check this notebook on kaggle: https://www.kaggle.com/code/syedjarullahhisham/drl-extra-personal-unit-5…
Access
Public
Updated Aug 12, 2024
Repo size
87.3 MB
Likes
3
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Repo makeup
Click a slice to open those files.
.pt21.2 MB · 81%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Jul 3, 2024
- Updated
- Aug 12, 2024
- SHA
- 24369b43
Model card
From the Hugging Face model README
RND with CNN Agent playing SuperMarioBros-v0
This is a trained model of a RND-CNN agent playing SuperMarioBros-v0 . To learn to use this model and train yours check this notebook on kaggle: https://www.kaggle.com/code/syedjarullahhisham/drl-extra-personal-unit-5-rnd-super-mario-bros
Codes
Github repos(Give a star if found useful):
- https://github.com/hishamcse/DRL-Renegades-Game-Bots
- https://github.com/hishamcse/Advanced-DRL-Renegades-Game-Bots
- https://github.com/hishamcse/Robo-Chess
Kaggle Notebook:
- https://www.kaggle.com/code/syedjarullahhisham/drl-extra-personal-unit-5-rnd-super-mario-bros
- https://www.kaggle.com/code/syedjarullahhisham/drl-extra-personal-unit-5-rnd-montezuma-mario-bros
HyperParameters:
"trainmethod": "RND",
"envid": "SuperMarioBros-v0",
"maxstepperepisode": 18000,
"learningrate": 0.0001,
"numenv": 128,
"numstep": 128,
"gamma": 0.999,
"intgamma": 0.99,
"lambda": 0.95,
"usegae": true,
"clipgradnorm": 0.5,
"entropy": 0.001,
"epoch": 4,
"minibatch": 4,
"ppoeps": 0.1,
"extcoef": 5.0,
"intcoef": 1.0,
"stickyaction": true,
"actionprob": 0.25,
"lifedone": false,
"obsnormstep": 50
- Task
- Reinforcement Learning
- Created
- Jul 3, 2024
- Updated
- Aug 12, 2024