Raphael C. Engelhardt

Orcid: 0000-0003-1463-2706

According to our database1, Raphael C. Engelhardt authored at least 5 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks.
CoRR, 2024

2023
Iterative Oblique Decision Trees Deliver Explainable RL Models.
Algorithms, June, 2023

Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison.
Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning.
Proceedings of the Machine Learning, Optimization, and Data Science, 2023

2022
Sample-Based Rule Extraction for Explainable Reinforcement Learning.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022


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