Home › Entities › academia › Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulations

Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulations

Research article (Mathematics, 2020) · cited 21× · AI/ML
academia openalex:W3082495008
Press Enter · cited answer in seconds

Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulations

Summary

Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulations is a scholarly article[1].

Key Facts

  • Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulations's instance of is recorded as scholarly article[2].

Related Entities

Miguel Lozano

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulations. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-inverse-reinforcement-learning-with-real-trajectories-to-get-more-trustworthy-pedestrian-simulations
MLA “Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-inverse-reinforcement-learning-with-real-trajectories-to-get-more-trustworthy-pedestrian-simulations.
BibTeX @misc{4ortxyz_using-inverse-reinforcement-learning-with-real-trajectories-to-get-more-trustworthy-pedestrian-simulations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulations}}, year = {2026}, url = {https://4ort.xyz/entity/using-inverse-reinforcement-learning-with-real-trajectories-to-get-more-trustworthy-pedestrian-simulations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulations — https://4ort.xyz/entity/using-inverse-reinforcement-learning-with-real-trajectories-to-get-more-trustworthy-pedestrian-simulations (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/using-inverse-reinforcement-learning-with-real-trajectories-to-get-more-trustworthy-pedestrian-simulations · Last refreshed: