☆ 4.6 Article

Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications

NEUROCOMPUTING (2023)

Near-optimal Nonlinear Regression Trees

Dimitris Bertsimas et al.

Summary: Near-optimal Nonlinear Regression Trees with hyperplane splits (NNRTs) use a polynomial prediction function in leaf nodes and are solved by stochastic gradient methods, showing convergence to the global optimal on synthetic data. When compared to other methods like ORT-LH, Multivariate Adaptive Regression Splines (MARS), Random Forests (RF), and XGBoost on 40 real-world datasets, NNRTs demonstrate superior performance overall.

OPERATIONS RESEARCH LETTERS (2021)

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Proceedings Paper Automation & Control Systems

Explainable AI methods on a deep reinforcement learning agent for automatic docking

Jakob Lover et al.

Summary: This paper implements three XAI methods to explain the decisions made by a deep reinforcement learning agent in automatic docking on a fully-actuated vessel, addressing challenges related to interpretability and trustworthiness of ANNs. The authors discuss the properties and suitability of the three methods, juxtaposing them with important attributes of the docking agent.

IFAC PAPERSONLINE (2021)

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Article Computer Science, Artificial Intelligence

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Alejandro Barredo Arrieta et al.

INFORMATION FUSION (2020)

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Article Computer Science, Information Systems

Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

Amina Adadi et al.

IEEE ACCESS (2018)

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Article Computer Science, Interdisciplinary Applications

Regularization Paths for Generalized Linear Models via Coordinate Descent

Jerome Friedman et al.

JOURNAL OF STATISTICAL SOFTWARE (2010)

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Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications

相关参考文献

Near-optimal Nonlinear Regression Trees

Explainable AI methods on a deep reinforcement learning agent for automatic docking

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

Regularization Paths for Generalized Linear Models via Coordinate Descent

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