Nikolaidis, Stefanos

18 publications

NeurIPS 2025 Adaptively Coordinating with Novel Partners via Learned Latent Strategies Benjamin Li, Shuyang Shi, Lucia Romero, Huao Li, Yaqi Xie, Woojun Kim, Stefanos Nikolaidis, Charles Michael Lewis, Katia P. Sycara, Simon Stepputtis

CoRL 2025 ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation Enyu Zhao, Vedant Raval, Hejia Zhang, Jiageng Mao, Zeyu Shangguan, Stefanos Nikolaidis, Yue Wang, Daniel Seita

NeurIPS 2024 Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity Robby Costales, Stefanos Nikolaidis

IJCAI 2024 Guidance Graph Optimization for Lifelong Multi-Agent Path Finding Yulun Zhang, He Jiang, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li

ICLR 2024 Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning Sumeet Batra, Bryon Tjanaka, Matthew Christopher Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme

AAAI 2024 Quality-Diversity Generative Sampling for Learning with Synthetic Data Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Mataric, Stefanos Nikolaidis

NeurIPS 2023 Arbitrarily Scalable Environment Generators via Neural Cellular Automata Yulun Zhang, Matthew Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li

IJCAI 2023 Multi-Robot Coordination and Layout Design for Automated Warehousing Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li

CoRL 2023 Surrogate Assisted Generation of Human-Robot Interaction Scenarios Varun Bhatt, Heramb Nemlekar, Matthew Christopher Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis

ICLRW 2022 DSA-ME: Deep Surrogate Assisted MAP-Elites Yulun Zhang, Matthew Christopher Fontaine, Amy K Hoover, Stefanos Nikolaidis

NeurIPS 2022 Deep Surrogate Assisted Generation of Environments Varun Bhatt, Bryon Tjanaka, Matthew Fontaine, Stefanos Nikolaidis

ICLRW 2022 Differentiable Quality Diversity for Reinforcement Learning by Approximating Gradients Bryon Tjanaka, Matthew Christopher Fontaine, Julian Togelius, Stefanos Nikolaidis

NeurIPSW 2022 Scaling Covariance Matrix Adaptation MAP-Annealing to High-Dimensional Controllers Bryon Tjanaka, Matthew Christopher Fontaine, Aniruddha Kalkar, Stefanos Nikolaidis

NeurIPSW 2022 Scaling Covariance Matrix Adaptation MAP-Annealing to High-Dimensional Controllers Bryon Tjanaka, Matthew Christopher Fontaine, Aniruddha Kalkar, Stefanos Nikolaidis

NeurIPS 2021 Differentiable Quality Diversity Matthew Fontaine, Stefanos Nikolaidis

AAAI 2021 Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa, Jignesh Modi, Julian Togelius, Amy K. Hoover, Stefanos Nikolaidis

UAI 2020 Fair Contextual Multi-Armed Bandits: Theory and Experiments Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis

CoRL 2020 Learning from Demonstrations Using Signal Temporal Logic Aniruddh Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis