Inverse reinforcement learning (IRL) is a technique for automatic reward acquisition, however, it is difficult to apply to high-dimensional problems with unknown dynamics. This article proposes an ...

An open community to promote AI technology. Deep Reinforcement Learning Book has 10 repositories available. Follow their code on GitHub.

Research project: create a chess engine using Deep Reinforcement Learning - zjeffer/chess-deep-rl ...

This deep learning-based approach significantly reduces the confusion between PE and fatty acids observed in conventional Raman spectral analyses of microplastics, thereby demonstrating its potential ...

This study evaluates the performance of twenty-four machine learning models (MLMs) in forecasting SPVP in Bamenda, Cameroon. The study uses data from Photovoltaic Geographical Information System with ...

This study evaluates the performance of twenty-four machine learning models (MLMs) in forecasting SPVP in Bamenda, Cameroon. The study uses data from Photovoltaic Geographical Information System with ...

Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well?

Deep eutectic solvents (DESs) are tunable green solvents whose complex physicochemical properties make experimental optimization challenging. While machine learning (ML) offers a powerful alternative ...