Hugging Face
Models
Datasets
Spaces
Posts
Docs
Enterprise
Pricing
Log In
Sign Up
Statos6
/
poca-SoccerTwos
like
0
Reinforcement Learning
ml-agents
TensorBoard
ONNX
SoccerTwos
deep-reinforcement-learning
ML-Agents-SoccerTwos
Model card
Files
Files and versions
Metrics
Training metrics
Community
Use this model
f5c5d35
poca-SoccerTwos
1 contributor
History:
3 commits
Statos6
Retrained to 10M steps, with higher play_against_latest_model_ratio (0.75 instead of 0.25) this helped the model to learn to play defense better
f5c5d35
verified
10 months ago
SoccerTwos
Retrained to 10M steps, with higher play_against_latest_model_ratio (0.75 instead of 0.25) this helped the model to learn to play defense better
10 months ago
SoccerTwos_orig
Retrained to 10M steps, with higher play_against_latest_model_ratio (0.75 instead of 0.25) this helped the model to learn to play defense better
10 months ago
run_logs
Retrained to 10M steps, with higher play_against_latest_model_ratio (0.75 instead of 0.25) this helped the model to learn to play defense better
10 months ago
.gitattributes
1.52 kB
initial commit
10 months ago
README.md
1.35 kB
Trained with optuna hyperparam optimization with ml-agents-optuna
10 months ago
SoccerTwos.onnx
896 kB
LFS
Retrained to 10M steps, with higher play_against_latest_model_ratio (0.75 instead of 0.25) this helped the model to learn to play defense better
10 months ago
config.json
1.97 kB
Retrained to 10M steps, with higher play_against_latest_model_ratio (0.75 instead of 0.25) this helped the model to learn to play defense better
10 months ago
configuration.yaml
2.04 kB
Retrained to 10M steps, with higher play_against_latest_model_ratio (0.75 instead of 0.25) this helped the model to learn to play defense better
10 months ago