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Differential dynamic programming (DDP) is an optimal control algorithm of the trajectory optimization class. The algorithm was introduced in 1966 by Mayne and subsequently analysed in Jacobson and Mayne's eponymous book. The algorithm uses locally-quadratic models of the dynamics and cost functions, and displays quadratic convergence. It is closely…
Products, Regularization and line-search & Dynamic programming
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displaystyle control mathbf dynamic programming differential ddp optimal algorithm quadratic equiv trajectory method regularization line-search sequence backward pass cost convergence
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Differential dynamic programming | related to Constrained problems | Interior Point Differential | 0.60 | section |
| Differential dynamic programming | related to Constrained problems | IPDDP | 0.60 | section |
| Differential dynamic programming | related to Constrained problems | DDP | 0.60 | section |
| Differential dynamic programming | related to Monte Carlo version | Sampled | 0.60 | section |
| Differential dynamic programming | related to Monte Carlo version | SaDDP | 0.60 | section |
| Differential dynamic programming | related to Monte Carlo version | Monte Carlo | 0.60 | section |
| Differential dynamic programming | related to Monte Carlo version | It | 0.60 | section |
| Differential dynamic programming | related to Monte Carlo version | Boltzmann | 0.60 | section |
| Differential dynamic programming | related to Monte Carlo version | This | 0.60 | section |
| Differential dynamic programming | related to Monte Carlo version | DDP | 0.60 | section |
| Differential dynamic programming | related to Monte Carlo version | The | 0.60 | section |
| Differential dynamic programming | related to Monte Carlo version | Path Integral Policy Improvement | 0.60 | section |
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