policy
polaris
SWARNIM-TIWARI · PyTorch
or hover any field below to flag it
Overview
Name
polaris
Author
SWARNIM-TIWARI
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
RL was cheaper. The heuristic was safer. Neither was correct. POLARIS stress-tests operational policies under chaos, demand spikes, and black swan events asking one question: which policy survives when everything goes wrong? Built with constrained RL, Bayesian modeling, CVaR risk metrics, and a huma
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 polaris yet.
Datasets that reference this policy
0No datasets reference polaris yet.