Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games-Reference-Cited by-同舟云学术

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Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games

Published:2021-08-17 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Conference on Games (CoG)
language:
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Author:

Gamage Chathura,Pinto Vimukthini,Xue Cheng,Stephenson Matthew,Zhang Peng,Renz Jochen

Funder

Defense Advanced Research Projects Agency (DARPA)

Army Research Office (ARO)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9618888/9618891/09619160.pdf?arnumber=9619160

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. NovPhy: A physical reasoning benchmark for open-world AI systems;Artificial Intelligence;2024-11

2. Challenges, evaluation and opportunities for open-world learning;Nature Machine Intelligence;2024-06-24

3. Novelty Accommodating Multi-agent Planning in High Fidelity Simulated Open World;Lecture Notes in Computer Science;2024

4. The Difficulty of Novelty Detection and Adaptation in Physical Environments;Lecture Notes in Computer Science;2023-11-27

5. Weibull-Open-World (WOW) Multi-Type Novelty Detection in CartPole3D;Algorithms;2022-10-18

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