policy
Trailblaze-Road-Crossing-Stimulation
Pranav-Programmer · PyTorch
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Overview
Name
Trailblaze-Road-Crossing-Stimulation
Author
Pranav-Programmer
Framework
PyTorch
License
unknown
Skill type
navigation
Evidence level
untested
Task description
"Trailblaze: Road Crossing Stimulation" merges Unity ML-Agents and PPO to train ML agents navigating dynamic roads. Reinforcement learning, powered by PPO, refines skills, while Behavioral Cloning enhances training through expert demonstrations. Experience vibrant simulations in this ML-driven road-
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 Trailblaze-Road-Crossing-Stimulation yet.
Datasets that reference this policy
0No datasets reference Trailblaze-Road-Crossing-Stimulation yet.