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Found 6 papers, 2 papers with code
Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind Spots
Recent research on mobile robot navigation has focused on socially aware navigation in crowded environments.
Transformable Gaussian Reward Function for Socially-Aware Navigation with Deep Reinforcement Learning
Although reinforcement learning technique has fostered the advancement of socially aware navigation, defining appropriate reward functions, especially in congested environments, has posed a significant challenge.
Quantifying dimensional change in stochastic portfolio theory
In this paper, we develop the theory of functional generation of portfolios in an equity market with changing dimension.
Arbitrage theory in a market of stochastic dimension
This paper studies an equity market of stochastic dimension, where the number of assets fluctuates over time.
Market-to-book Ratio in Stochastic Portfolio Theory
We study market-to-book ratios of stocks in the context of Stochastic Portfolio Theory.
Deep learning-based statistical noise reduction for multidimensional spectral data
In such case, the limited time available for data acquisition can be a serious constraint for experiments in which multidimensional spectral data are acquired.
