most citedCEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2021★ 2 cited

CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning

Kevin Huang, Sahin Lale, Ugo Rosolia +2

Current state-of-the-art model-based reinforcement learning algorithms use trajectory sampling methods, such as the Cross-Entropy Method (CEM), for planning in continuous control s…