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Found 3 papers, 2 papers with code
RangL: A Reinforcement Learning Competition Platform
The RangL project hosted by The Alan Turing Institute aims to encourage the wider uptake of reinforcement learning by supporting competitions relating to real-world dynamic decision problems.
Rule-based Evolutionary Bayesian Learning
In our previous work, we introduced the rule-based Bayesian Regression, a methodology that leverages two concepts: (i) Bayesian inference, for the general framework and uncertainty quantification and (ii) rule-based systems for the incorporation of expert knowledge and intuition.
Rule-based Bayesian regression
We introduce a novel rule-based approach for handling regression problems.
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