Simple random search of static linear policies is competitive for reinforcement learning
Model-free reinforcement learning aims to offer off-the-shelf solutions for controlling dynamical systems without requiring models of the system dynamics. We introduce a model-free random search algorithm for training static, linear policies for continuous control problems... (read more)
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
Random Search
|
Hyperparameter Search |