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GitHub / wanxinjin / Safe-PDP
Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wanxinjin%2FSafe-PDP
Stars: 52
Forks: 6
Open Issues: 0
License: mit
Language: Python
Repo Size: 25.2 MB
Dependencies:
0
Created: almost 3 years ago
Updated: about 1 year ago
Last pushed: almost 2 years ago
Last synced: almost 1 year ago
Topics: constrained-learning, constrained-optimization, constrained-reinforcement-learning, constraint-based-modeling, constraint-programming, constraints, differentiable-programming, non-convex-optimization, optimization, robotics-control, safe-control, safe-planning, safe-reinforcement-learning, safety-critical, safety-critical-learning, safety-critical-systems
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