{"type":"ScholarlyArticle","title":"Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments","authors":[{"name":"Angel Sylvester","slug":"angel-sylvester","given":"Angel","family":"Sylvester","affiliation":"University of Minnesota"}],"abstract":"Dynamic adaptation and learning, akin to natural organisms, is crucial for robots operating in real-world scenarios like search and rescue missions. We propose a solution combining intuition from embodied evolution and Bayes theory to promote flexible exploration in foraging tasks. Our investigation focuses on three main areas: 1) leveraging communication and prior knowledge to develop adaptable strategies in agent groups, 2) addressing challenges from sparse rewards or limited data availability, and 3) developing methods for concurrent evaluation and training in a single iteration, filling a current gap in learning-based solutions. Future directions include exploring decentralized coordination among agents and incorporating assistance based on prospective memory and altruism in multi-agent reinforcement learning.","doi":"10.24963/ijcai.2024/971","url":"https://ijcai.org/proceedings/2024/971","pdf":"https://ijcai.org/proceedings/2024/0971.pdf","markdown":"https://ijcai.org/proceedings/2024/971.md","bibtex":"https://ijcai.org/proceedings/2024/bibtex/971","volume":{"slug":"2024","title":"Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2024","url":"https://ijcai.org/proceedings/2024/","year":2024,"location":"Jeju, Korea","dates":"3-9 August 2024","editors":"Kate Larson","isbn":"978-1-956792-04-1","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2024"},"section":"Doctoral Consortium","track":"Doctoral Consortium","number":971,"pages":{"first":8512,"last":8513},"keywords":["DC: Robotics","DC: Search","DC: Multidisciplinary Topics and Applications","DC: Agent-based and Multi-agent Systems"],"videos":[],"references":[{"position":1,"raw":"[Bredeche et al., 2018] Nicolas Bredeche, Evert Haasdijk, and Abraham Prieto. Embodied evolution in collective robotics: A review. Frontiers in Robotics and AI, 5, 2018.","title":"Embodied evolution in collective robotics: A review","authors":"Bredeche","year":"2018","venue":"Frontiers in Robotics and AI","doi":null,"url":null,"internal_url":null},{"position":2,"raw":"[Gordon, 2016] Deborah M. Gordon. The evolution of the algorithms for collective behavior. Cell Systems, 3(6):514-520, December 2016.","title":"The evolution of the algorithms for collective behavior","authors":"Deborah M Gordon","year":"2016","venue":"Cell Systems","doi":null,"url":null,"internal_url":null},{"position":3,"raw":"[Gordon, 2020] Deborah M Gordon. Movement, encounter rate, and collective behavior in ant colonies. Annals of the Entomological Society of America, 114(5):541-546, November 2020.","title":"Movement, encounter rate, and collective behavior in ant colonies","authors":"M Deborah, Gordon","year":"2020","venue":"Annals of the Entomological Society of America","doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[Pasquier and Grüter, 2016] Grégoire Pasquier and Christoph Grüter. Individual learning performance and exploratory activity are linked to colony foraging success in a mass-recruiting ant. Behavioral Ecology, page arw079, June 2016.","title":"Individual learning performance and exploratory activity are linked to colony foraging success in a mass-recruiting ant","authors":"Grégoire Pasquier, Christoph Grüter","year":"2016","venue":"Behavioral Ecology","doi":null,"url":null,"internal_url":null},{"position":5,"raw":"[Sylvester and Gini, 2023] A. Sylvester and M. Gini. Facili- tating real-time collaboration and learning in search envi- ronments for multi-robot systems via real-time evolution- ary algorithm. In ARMS Workshop at AAMAS, London, England, 2023.","title":"Facilitating real-time collaboration and learning in search environments for multi-robot systems via real-time evolutionary algorithm","authors":"A Sylvester, M Gini","year":"2023","venue":"ARMS Workshop at AAMAS","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}