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NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
Created
2022-06-05
228 commits to main branch, last one 8 months ago
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.
constraints
optimization
safe-control
safe-planning
safety-critical
robotics-control
constrained-learning
constraint-programming
non-convex-optimization
safety-critical-systems
constrained-optimization
safety-critical-learning
constraint-based-modeling
differentiable-programming
safe-reinforcement-learning
constrained-reinforcement-learning
Created
2021-05-31
10 commits to main branch, last one 2 years ago