Policy Transfer using Reward Shaping

Research article (http://ai.vub.ac.be/%7Etbrys/publications/Brys2015AAMAS.pdf, 2015) · cited 51× · AI/ML
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Policy Transfer using Reward Shaping

Summary

Policy Transfer using Reward Shaping is a scholarly article[1].

Key Facts

  • Policy Transfer using Reward Shaping's instance of is recorded as scholarly article[2].

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.

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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). Policy Transfer using Reward Shaping. Retrieved May 24, 2026, from https://4ort.xyz/entity/policy-transfer-using-reward-shaping
MLA “Policy Transfer using Reward Shaping.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/policy-transfer-using-reward-shaping.
BibTeX @misc{4ortxyz_policy-transfer-using-reward-shaping_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Policy Transfer using Reward Shaping}}, year = {2026}, url = {https://4ort.xyz/entity/policy-transfer-using-reward-shaping}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Policy Transfer using Reward Shaping — https://4ort.xyz/entity/policy-transfer-using-reward-shaping (retrieved 2026-05-24)

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