Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming.
Minjae ChoChuangchuang SunPublished in: CoRR (2023)
Keyphrases
- convex programming
- reinforcement learning
- linear programming
- convex optimization
- interior point methods
- objective function
- state space
- semidefinite programming
- primal dual
- convex functions
- linear program
- learning process
- machine learning
- kernel learning
- special case
- principal component analysis
- loss function
- transfer learning