policy
AIA2Z
Surenbandari · PyTorch
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Overview
Name
AIA2Z
Author
Surenbandari
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
AI concepts Models - Q-Learning, Deep Q-Learning, Deep Convolutional Q-Learning, 3C (Asynchronous Advantage Actor-Critic), PPO (Proximal Policy Optimization) ,SAC (Soft Actor-Critic), fine-tuning a powerful pre-trained LLM
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
0No environments list AIA2Z yet.
Datasets that reference this policy
0No datasets reference AIA2Z yet.