Decentralized Method for Traffic Monitoring. - Guillaume Sartoretti; Jean-Luc Falcone; Bastien Chopard; Martin J. Gander (ACRI, 2012)

Soft Control of Self-organized Locally Interacting Brownian Planar Agents. - Guillaume Sartoretti; Max-Olivier Hongler (EUROCAST (1), 2013)

Soft Control of Swarms - Analytical Approach. - Guillaume Sartoretti; Max-Olivier Hongler (ICAART (1), 2013)

Traffic Prediction Based on a Local Exchange of Information. - Bruno Barbieri; Guillaume Sartoretti; Jean-Luc Falcone; Bastien Chopard; Martin J. Gander (J. Cell. Autom., 2013)

Decentralized self-selection of swarm trajectories: from dynamical systems theory to robotic implementation. - Guillaume Sartoretti; Max-Olivier Hongler; Marcelo Elias de Oliveira; Francesco Mondada (Swarm Intell., 2014)

Distributed planar manipulation in fluidic environments. - Guillaume Sartoretti; Samuel Shaw; M. Ani Hsieh (ICRA, 2016)

Leader-based versus soft control of multi-agent swarms. - Guillaume Sartoretti (Artif. Life Robotics, 2016)

Interacting Brownian Swarms: Some Analytical Results. - Guillaume Sartoretti; Max-Olivier Hongler (Entropy, 2016)

Distributed Reinforcement Learning for Multi-robot Decentralized Collective Construction. - Guillaume Sartoretti; Yue Wu; William Paivine; T. K. Satish Kumar; Sven Koenig; Howie Choset (DARS, 2018)

Proprioceptive-Inertial Autonomous Locomotion for Articulated Robots. - Francesco Ruscelli; Guillaume Sartoretti; Junyu Nan; Zhixin Feng; Matthew J. Travers; Howie Choset (ICRA, 2018)

Central Pattern Generator With Inertial Feedback for Stable Locomotion and Climbing in Unstructured Terrain. - Guillaume Sartoretti; Samuel Shaw; Katie Lam; Naixin Fan; Matthew J. Travers; Howie Choset (ICRA, 2018)

Distributed Learning for the Decentralized Control of Articulated Mobile Robots. - Guillaume Sartoretti; Yunfei Shi; William Paivine; Matthew J. Travers; Howie Choset (ICRA, 2018)

Coordination of back bending and leg movements for quadrupedal locomotion. - Baxi Chong; Yasemin Ozkan Aydin; Chaohui Gong; Guillaume Sartoretti; Yunjin Wu; Jennifer M. Rieser; Haosen Xing; Jeffery W. Rankin; Krijn B. Michel; Alfredo G. Nicieza; John R. Hutchinson; Daniel I. Goldman; et al. (Robotics: Science and Systems, 2018)

Learning to Sequence Robot Behaviors for Visual Navigation. - Hadi Salman; Puneet Singhal; Tanmay Shankar; Peng Yin 001; Ali Salman; William Paivine; Guillaume Sartoretti; Matthew J. Travers; Howie Choset (CoRR, 2018)

Workspace CPG with Body Pose Control for Stable, Directed Vision during Omnidirectional Locomotion. - Samuel Shaw; Guillaume Sartoretti; Jake Olkin; William Paivine; Howie Choset (ICRA, 2019)

A Hierarchical Geometric Framework to Design Locomotive Gaits for Highly Articulated Robots. - Baxi Chong; Yasemin Ozkan Aydin; Guillaume Sartoretti; Jennifer M. Rieser; Chaohui Gong; Haosen Xing; Howie Choset; Daniel I. Goldman (Robotics: Science and Systems, 2019)

PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning. - Guillaume Sartoretti; Justin Kerr; Yunfei Shi; Glenn Wagner; T. K. Satish Kumar; Sven Koenig; Howie Choset (IEEE Robotics Autom. Lett., 2019)

Distributed Learning of Decentralized Control Policies for Articulated Mobile Robots. - Guillaume Sartoretti; William Paivine; Yunfei Shi; Yue Wu; Howie Choset (IEEE Trans. Robotics, 2019)

Communication Learning via Backpropagation in Discrete Channels with Unknown Noise. - Benjamin Freed; Guillaume Sartoretti; Jiaheng Hu; Howie Choset (AAAI, 2020)

Sparse Discrete Communication Learning for Multi-Agent Cooperation Through Backpropagation. - Benjamin Freed; Rohan James; Guillaume Sartoretti; Howie Choset (IROS, 2020)

Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. - Florian Laurent; Manuel Schneider; Christian Scheller; Jeremy D. Watson; Jiaoyang Li 001; Zhe Chen 016; Yi Zheng; Shao-Hung Chan; Konstantin Makhnev; Oleg Svidchenko; Vladimir Egorov; Dmitry Ivanov; et al. (NeurIPS (Competition and Demos), 2020)

PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Lifelong. - Mehul Damani; Zhiyao Luo; Emerson Wenzel; Guillaume Sartoretti (CoRR, 2020)

Flatland-RL : Multi-Agent Reinforcement Learning on Trains. - Sharada Prasanna Mohanty; Erik Nygren; Florian Laurent; Manuel Schneider; Christian Scheller; Nilabha Bhattacharya; Jeremy D. Watson; Adrian Egli; Christian Eichenberger; Christian Baumberger; Gereon Vienken; Irene Sturm; et al. (CoRR, 2020)

Simultaneous Policy and Discrete Communication Learning for Multi-Agent Cooperation. - Benjamin Freed; Guillaume Sartoretti; Howie Choset (IEEE Robotics Autom. Lett., 2020)

Spectral-Based Distributed Ergodic Coverage for Heterogeneous Multi-agent Search. - Guillaume Sartoretti; Ananya Rao; Howie Choset (DARS, 2021)

Autonomous Decentralized Shape-Based Navigation for Snake Robots in Dense Environments. - Guillaume Sartoretti; Tianyu Wang 010; Gabriel Chuang; Qingyang Li; Howie Choset (ICRA, 2021)

DAN: Decentralized Attention-based Neural Network to Solve the MinMax Multiple Traveling Salesman Problem. - Yuhong Cao; Zhanhong Sun; Guillaume Sartoretti (CoRR, 2021)

A general locomotion control framework for serially connected multi-legged robots. - Baxi Chong; Yasemin Ozkan Aydin; Jennifer M. Rieser; Guillaume Sartoretti; Tianyu Wang 010; Julian Whitman; Abdul Kaba; Enes Aydin; Ciera McFarland; Howie Choset; Daniel I. Goldman (CoRR, 2021)

Coordination of lateral body bending and leg movements for sprawled posture quadrupedal locomotion. - Baxi Chong; Yasemin Ozkan Aydin; Chaohui Gong; Guillaume Sartoretti; Yunjin Wu; Jennifer M. Rieser; Haosen Xing; Perrin E. Schiebel; Jeffery W. Rankin; Krijn B. Michel; Alfredo G. Nicieza; John R. Hutchinson; et al. (Int. J. Robotics Res., 2021)

PRIMAL$_2$: Pathfinding Via Reinforcement and Imitation Multi-Agent Learning - Lifelong. - Mehul Damani; Zhiyao Luo; Emerson Wenzel; Guillaume Sartoretti (IEEE Robotics Autom. Lett., 2021)

FCMNet: Full Communication Memory Net for Team-Level Cooperation in Multi-Agent Systems. - Yutong Wang 003; Guillaume Sartoretti (AAMAS, 2022)

Multi-agent Traffic Signal Control via Distributed RL with Spatial and Temporal Feature Extraction. - Yifeng Zhang; Mehul Damani; Guillaume Sartoretti (AAMAS Workshops, 2022)

Keyframe-based CPG for Stable Gait Design and Online Transitions in Legged Robots. - Scott Shaw; Guillaume Sartoretti (CDC, 2022)

CAtNIPP: Context-Aware Attention-based Network for Informative Path Planning. - Yuhong Cao; Yizhuo Wang 004; Apoorva Vashisth; Haolin Fan; Guillaume Sartoretti (CoRL, 2022)

DAN: Decentralized Attention-Based Neural Network for the MinMax Multiple Traveling Salesman Problem. - Yuhong Cao; Zhanhong Sun; Guillaume Sartoretti (DARS, 2022)

Sparse Sensing in Ergodic Optimization. - Ananya Rao; Ian Abraham; Guillaume Sartoretti; Howie Choset (DARS, 2022)

Multi-Agent Dynamic Ergodic Search with Low-Information Sensors. - Howard Coffin; Ian Abraham; Guillaume Sartoretti; Tyler Dillstrom; Howie Choset (ICRA, 2022)

Distributed Reinforcement Learning for Robot Teams: A Review. - Yutong Wang 003; Mehul Damani; Pamela Wang; Yuhong Cao; Guillaume Sartoretti (CoRR, 2022)

ForMIC: Foraging via Multiagent RL With Implicit Communication. - Samuel Shaw; Emerson Wenzel; Alexis Walker; Guillaume Sartoretti (IEEE Robotics Autom. Lett., 2022)

Joint-Space CPG for Safe Foothold Planning and Body Pose Control During Locomotion and Climbing. - Ge Sun; Guillaume Sartoretti (IEEE Robotics Autom. Lett., 2022)

SocialLight: Distributed Cooperation Learning towards Network-Wide Traffic Signal Control. - Harsh Goel; Yifeng Zhang; Mehul Damani; Guillaume Sartoretti (AAMAS, 2023)

Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area. - Jingsong Liang; Zhichen Wang; Yuhong Cao; Jimmy Chiun; Mengqi Zhang; Guillaume Adrien Sartoretti (CoRL, 2023)

Learning Temporally AbstractWorld Models without Online Experimentation. - Benjamin Freed; Siddarth Venkatraman; Guillaume Adrien Sartoretti; Jeff Schneider 001; Howie Choset (ICML, 2023)

ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration. - Yuhong Cao; Tianxiang Hou; Yizhuo Wang 004; Xian Yi; Guillaume Sartoretti (ICRA, 2023)

Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets. - Yizhuo Wang 004; Yutong Wang 003; Yuhong Cao; Guillaume Sartoretti (IROS, 2023)

SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding. - Yutong Wang 003; Bairan Xiang; Shinan Huang; Guillaume Sartoretti (IROS, 2023)

Intent-based Deep Reinforcement Learning for Multi-agent Informative Path Planning. - Tianze Yang; Yuhong Cao; Guillaume Sartoretti (MRS, 2023)

Legged Robots for Object Manipulation: A Review. - Yifeng Gong; Ge Sun; Aditya Nair; Aditya Bidwai; Raghuram CS; John Grezmak; Guillaume Sartoretti; Kathryn A. Daltorio (CoRR, 2023)

DecAP: Decaying Action Priors for Accelerated Learning of Torque-Based Legged Locomotion Policies. - Shivam Sood; Ge Sun; Peizhuo Li; Guillaume Sartoretti (CoRR, 2023)

Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations. - Mingfeng Fan; Yaoxin Wu; Tianjun Liao; Zhiguang Cao; Hongliang Guo; Guillaume Sartoretti; Guohua Wu 001 (IEEE Trans. Veh. Technol., 2023)

Full communication memory networks for team-level cooperation learning. - Yutong Wang 003; Yizhuo Wang 004; Guillaume Sartoretti (Auton. Agents Multi Agent Syst., 2023)

Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems. - Yaoxin Wu; Mingfeng Fan; Zhiguang Cao; Ruobin Gao; Yaqing Hou; Guillaume Sartoretti (AAMAS, 2024)

Attention-based Priority Learning for Limited Time Multi-Agent Path Finding. - Yibin Yang; Mingfeng Fan; Chengyang He; Jianqiang Wang 003; Heye Huang; Guillaume Sartoretti (AAMAS, 2024)

ViPER: Visibility-based Pursuit-Evasion via Reinforcement Learning. - Yizhuo Wang 004; Yuhong Cao; Jimmy Chiun; Subhadeep Koley; Mandy Pham; Guillaume Adrien Sartoretti (CoRL, 2024)

Dynamic Coalition Formation and Routing for Multirobot Task Allocation via Reinforcement Learning. - Weiheng Dai; Aditya Bidwai; Guillaume Sartoretti (ICRA, 2024)

ALPHA: Attention-based Long-horizon Pathfinding in Highly-structured Areas. - Chengyang He; Tianze Yang; Tanishq Duhan; Yutong Wang 003; Guillaume Sartoretti (ICRA, 2024)

Learning Heterogeneous Multi-Agent Allocations for Ergodic Search. - Ananya Rao; Guillaume Sartoretti; Howie Choset (ICRA, 2024)

DecAP : Decaying Action Priors for Accelerated Imitation Learning of Torque-Based Legged Locomotion Policies. - Shivam Sood; Ge Sun; Peizhuo Li; Guillaume Sartoretti (IROS, 2024)

Learning-based Hierarchical Control: Emulating the Central Nervous System for Bio-Inspired Legged Robot Locomotion. - Ge Sun; Milad Shafiee; Peizhuo Li; Guillaume Bellegarda; Auke Jan Ijspeert; Guillaume Sartoretti (IROS, 2024)

IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity. - Derek Ming Siang Tan; Yixiao Ma; Jingsong Liang; Yi Cheng Chng; Yuhong Cao; Guillaume Sartoretti (IROS, 2024)

Reconfigurable Multi-Rotor for High-Precision Physical Interaction. - Joshua Taylor; Nursultan Imanberdiyev; Meng Yee Michael Chuah; Wei-Yun Yau; Guillaume Sartoretti; Efe Camci (IROS, 2024)

HeteroLight: A General and Efficient Learning Approach for Heterogeneous Traffic Signal Control. - Yifeng Zhang; Peizhuo Li; Mingfeng Fan; Guillaume Sartoretti (IROS, 2024)

To Land or Not to Land? Digital Twin Approach for Safe Landing of Multirotors on Complex Terrain. - Joshua Taylor; Wei-Yun Yau; Guillaume Sartoretti; Efe Camci (TENCON, 2024)

STAR: Swarm Technology for Aerial Robotics Research. - Jimmy Chiun; Yan Rui Tan; Yuhong Cao; John Tan; Guillaume Sartoretti (CoRR, 2024)

Privileged Reinforcement and Communication Learning for Distributed, Bandwidth-limited Multi-robot Exploration. - Yixiao Ma; Jingsong Liang; Yuhong Cao; Derek Ming Siang Tan; Guillaume Sartoretti (CoRR, 2024)

Hybrid Training for Enhanced Multi-task Generalization in Multi-agent Reinforcement Learning. - Mingliang Zhang; Sichang Su; Chengyang He; Guillaume Sartoretti (CoRR, 2024)

IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity. - Derek Ming Siang Tan; Yixiao Ma; Jingsong Liang; Yi Cheng Chng; Yuhong Cao; Guillaume Sartoretti (CoRR, 2024)

DARE: Diffusion Policy for Autonomous Robot Exploration. - Yuhong Cao; Jeric Lew; Jingsong Liang; Jin Cheng; Guillaume Sartoretti (CoRR, 2024)

Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path Finding. - He Jiang; Yutong Wang 003; Rishi Veerapaneni; Tanishq Duhan; Guillaume Sartoretti; Jiaoyang Li 001 (CoRR, 2024)

Deep Reinforcement Learning-Based Large-Scale Robot Exploration. - Yuhong Cao; Rui Zhao; Yizhuo Wang 004; Bairan Xiang; Guillaume Sartoretti (IEEE Robotics Autom. Lett., 2024)

LNS2+RL: Combining Multi-agent Reinforcement Learning with Large Neighborhood Search in Multi-agent Path Finding. - Yutong Wang 003; Tanishq Duhan; Jiaoyang Li 001; Guillaume Sartoretti (AAAI, 2025)

Social behavior as a key to learning-based multi-agent pathfinding dilemmas. - Chengyang He; Tanishq Duhan; Parth Tulsyan; Patrick Kim; Guillaume Sartoretti (Artif. Intell., 2025)

Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing. - Mingfeng Fan; Huan Liu 001; Guohua Wu 001; Aldy Gunawan; Guillaume Sartoretti (Swarm Evol. Comput., 2025)

HDPlanner: Advancing Autonomous Deployments in Unknown Environments Through Hierarchical Decision Networks. - Jingsong Liang; Yuhong Cao; Yixiao Ma; Hanqi Zhao; Guillaume Sartoretti (IEEE Robotics Autom. Lett., 2025)

SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding. - Shuhao Liao; Weihang Xia; Yuhong Cao; Weiheng Dai; Chengyang He; Wenjun Wu; Guillaume Sartoretti (CoRR, 2025)

MCTS-Judge: Test-Time Scaling in LLM-as-a-Judge for Code Correctness Evaluation. - Yutong Wang 003; Pengliang Ji; Chaoqun Yang; Kaixin Li; Ming Hu; Jiaoyang Li 001; Guillaume Sartoretti (CoRR, 2025)

SATA: Safe and Adaptive Torque-Based Locomotion Policies Inspired by Animal Learning. - Peizhuo Li; Hongyi Li; Ge Sun; Jin Cheng; Xinrong Yang; Guillaume Bellegarda; Milad Shafiee; Yuhong Cao; Auke Jan Ijspeert; Guillaume Sartoretti (CoRR, 2025)

MARVEL: Multi-Agent Reinforcement Learning for constrained field-of-View multi-robot Exploration in Large-scale environments. - Jimmy Chiun; Shizhe Zhang; Yizhuo Wang 004; Yuhong Cao; Guillaume Sartoretti (CoRR, 2025)

HELM: Human-Preferred Exploration with Language Models. - Shuhao Liao; Xuxin Lv; Yuhong Cao; Jeric Lew; Wenjun Wu; Guillaume Sartoretti (CoRR, 2025)

Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control. - Yifeng Zhang; Yilin Liu; Ping Gong; Peizhuo Li; Mingfeng Fan; Guillaume Sartoretti (CoRR, 2025)

Heterogeneous Multi-robot Task Allocation and Scheduling via Reinforcement Learning. - Weiheng Dai; Utkarsh Rai; Jimmy Chiun; Yuhong Cao; Guillaume Sartoretti (IEEE Robotics Autom. Lett., 2025)

Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems. - Mingfeng Fan; Yaoxin Wu; Zhiguang Cao; Wen Song; Guillaume Sartoretti; Huan Liu 001; Guohua Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Demystifying Diffusion Policies: Action Memorization and Simple Lookup Table Alternatives. - Chengyang He; Xu Liu; Gadiel Sznaier Camps; Guillaume Sartoretti; Mac Schwager (CoRR, 2025)

Latent Theory of Mind: A Decentralized Diffusion Architecture for Cooperative Manipulation. - Chengyang He; Gadiel Sznaier Camps; Xu Liu; Mac Schwager; Guillaume Sartoretti (CoRR, 2025)

APEX: Action Priors Enable Efficient Exploration for Skill Imitation on Articulated Robots. - Shivam Sood; Laukik B. Nakhwa; Yuhong Cao; Ge Sun; Guillaume Sartoretti (CoRR, 2025)

Search-TTA: A Multimodal Test-Time Adaptation Framework for Visual Search in the Wild. - Derek Ming Siang Tan; Shailesh; Boyang Liu; Alok Raj; Qi Xuan Ang; Weiheng Dai; Tanishq Duhan; Jimmy Chiun; Yuhong Cao; Florian Shkurti; Guillaume Sartoretti (CoRR, 2025)

Attention-based Learning for 3D Informative Path Planning. - Rui Zhao; Xingjian Zhang; Yuhong Cao; Yizhuo Wang 004; Guillaume Sartoretti (CoRR, 2025)

Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation. - Mingfeng Fan; Jianan Zhou 002; Yifeng Zhang; Yaoxin Wu; Jinbiao Chen; Guillaume Adrien Sartoretti (CoRR, 2025)

Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning. - Jiaqi Chen; Mingfeng Fan; Xuefeng Zhang; Jingsong Liang; Yuhong Cao; Guohua Wu 001; Guillaume Adrien Sartoretti (CoRR, 2025)

CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control. - Yifeng Zhang; Harsh Goel; Peizhuo Li; Mehul Damani; Sandeep Chinchali; Guillaume Sartoretti (IEEE Trans. Intell. Transp. Syst., 2025)

COMPASS: Cooperative Multi-Agent Persistent Monitoring using Spatio-Temporal Attention Network. - Xingjian Zhang; Yizhuo Wang 004; Guillaume Sartoretti (CoRR, 2025)

Beyond Policy Optimization: A Data Curation Flywheel for Sparse-Reward Long-Horizon Planning. - Yutong Wang 003; Pengliang Ji; Kaixin Li; Baolong Bi; Tao Feng; Guillaume Sartoretti (CoRR, 2025)

CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction. - Yizhuo Wang 004; Haodong He; Jingsong Liang; Yuhong Cao; Ritabrata Chakraborty; Guillaume Sartoretti (CoRR, 2025)