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2024
2023
2015
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Evolving Collective Behavior in Self-Organizing Particle Systems
We present EVOSOPS, an evolutionary framework that searches landscapes of stochastic distributed algorithms for particles that are shown to achieve emergent behviours such as Aggregation, Separation, Photo-taxing and Object Coating.
[Artificial Life Conference (ALIFE 2024)]
Devendra R. Parkar
,
Kirtus G. Leyba
,
Raylene A. Faerber
,
Joshua J. Daymude
Project
DOI
Geospatial Trajectory Generation via Efficient Abduction: Deployment for Independent Testing
We present a framework for constrained optimization of agent trajectory in symbolic-knowledge infused graphs using heuristic based graph traversal algorithms – A* search.
[Accepted to International Conference on Logic Programming (ICLP 2024)]
Divyagna Bavikadi
,
Dyuman Aditya
,
Devendra R. Parkar
,
Paulo Shakarian
,
Graham Mueller
,
Chad Parvis
,
Gerardo I. Simari
Project
DOI
Distributed Online Rollout for Multivehicle Routing in Unmapped Environments
We propose a new decentralized and online reinforcement learning algorithm for vehicle routing in a more challenging unmapped environments with provable guarantees of cost improvements over greedy base policy.
[International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024)]
Jamison Weber
,
Dhanush Giriyan
,
Devendra R. Parkar
,
Andréa Richa
,
Dimitri Bertsekas
Project
DOI
Scalable Semantic Non-Markovian Simulation Proxy for Reinforcement Learning [In Press]
A temporal and annotated-logic based simulation proxy that enables interpretable reinforcement learning
[International Conference on Semantic Computing (ICSC 2024)]
Kaustuv Mukherji
,
Devendra R. Parkar
,
Lahari Pokala
,
Dyuman Aditya
,
Paulo Shakarian
,
Clark Dorman
Project
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DOI
An example journal article
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Devendra R. Parkar
,
Robert Ford
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An example conference paper
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.
Devendra R. Parkar
,
Robert Ford
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