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Found 3 papers, 2 papers with code
Differentiable Tree Search in Latent State Space
In this work, we introduce Differentiable Tree Search (DTS), a novel neural network architecture that significantly strengthens the inductive bias by embedding the algorithmic structure of a best-first online search algorithm.
ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search
Depending upon the smoothness of the action-value function, one approach to overcoming this issue is through online learning, where information is interpolated among similar states; Policy Gradient Search provides a practical algorithm to achieve this.
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning
These layers rely on Gaussian dropouts and are inserted in between the layers of the deep neural network model to help facilitate variational Thompson sampling.
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