Simon Stepputtis

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 43

Top Topics

Semantic Segmentation

Policy Gradient

Top Venues

Publications

Weihao Zeng, Joseph Campbell, Simon Stepputtis, Katia P. Sycara
Multi-Agent Transfer Learning via Temporal Contrastive Learning. CoRR (2024)
Ce Zhang, Simon Stepputtis, Joseph Campbell, Katia P. Sycara, Yaqi Xie
HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation. CoRR (2024)
Ce Zhang, Simon Stepputtis, Katia P. Sycara, Yaqi Xie
Negative Yields Positive: Unified Dual-Path Adapter for Vision-Language Models. CoRR (2024)
Samuel Li, Sarthak Bhagat, Joseph Campbell, Yaqi Xie, Woojun Kim, Katia P. Sycara, Simon Stepputtis
ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition. CoRR (2024)
Zifu Wan, Yuhao Wang, Silong Yong, Pingping Zhang, Simon Stepputtis, Katia P. Sycara, Yaqi Xie
Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation. CoRR (2024)
Simon Stepputtis, Joseph Campbell, Yaqi Xie, Zhengyang Qi, Wenxin Sharon Zhang, Ruiyi Wang, Sanketh Rangreji, Charles Lewis, Katia P. Sycara
Long-Horizon Dialogue Understanding for Role Identification in the Game of Avalon with Large Language Models. EMNLP (Findings) (2023)
Renos Zabounidis, Joseph Campbell, Simon Stepputtis, Dana Hughes, Katia P. Sycara
Concept Learning for Interpretable Multi-Agent Reinforcement Learning. CoRR (2023)
Huao Li, Yu Quan Chong, Simon Stepputtis, Joseph Campbell, Dana Hughes, Michael Lewis, Katia P. Sycara
Theory of Mind for Multi-Agent Collaboration via Large Language Models. CoRR (2023)
Sarthak Bhagat, Simon Stepputtis, Joseph Campbell, Katia P. Sycara
Sample-Efficient Learning of Novel Visual Concepts. CoLLAs (2023)
Sarthak Bhagat, Simon Stepputtis, Joseph Campbell, Katia P. Sycara
Knowledge-Guided Short-Context Action Anticipation in Human-Centric Videos. CoRR (2023)
Sarthak Bhagat, Simon Stepputtis, Joseph Campbell, Katia P. Sycara
Sample-Efficient Learning of Novel Visual Concepts. CoRR (2023)
Yifan Zhou, Shubham D. Sonawani, Mariano J. Phielipp, Heni Ben Amor, Simon Stepputtis
Learning modular language-conditioned robot policies through attention. Auton. Robots 47 (8) (2023)
Joseph Campbell, Yue Guo, Fiona Xie, Simon Stepputtis, Katia P. Sycara
Introspective Action Advising for Interpretable Transfer Learning. CoRR (2023)
Huao Li, Yu Quan Chong, Simon Stepputtis, Joseph Campbell, Dana T. Hughes, Charles Lewis, Katia P. Sycara
Theory of Mind for Multi-Agent Collaboration via Large Language Models. EMNLP (2023)
Xijia Zhang, Yue Guo, Simon Stepputtis, Katia P. Sycara, Joseph Campbell
Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation. CoRR (2023)
Simon Stepputtis, Joseph Campbell, Yaqi Xie, Zhengyang Qi, Wenxin Sharon Zhang, Ruiyi Wang, Sanketh Rangreji, Michael Lewis, Katia P. Sycara
Long-Horizon Dialogue Understanding for Role Identification in the Game of Avalon with Large Language Models. CoRR (2023)
Renos Zabounidis, Ini Oguntola, Konghao Zhao, Joseph Campbell, Simon Stepputtis, Katia P. Sycara
Benchmarking and Enhancing Disentanglement in Concept-Residual Models. CoRR (2023)
Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara
Characterizing Out-of-Distribution Error via Optimal Transport. NeurIPS (2023)
Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara
Characterizing Out-of-Distribution Error via Optimal Transport. CoRR (2023)
Joseph Campbell, Yue Guo, Fiona Xie, Simon Stepputtis, Katia P. Sycara
Introspective Action Advising for Interpretable Transfer Learning. CoLLAs (2023)
Dana Hughes, Huao Li, Max Chis, Ini Oguntola, Simon Stepputtis, Keyang Zheng, Joseph Campbell, Katia P. Sycara, Michael Lewis
A Framework for Intervention Based Team Support in Time Critical Tasks. SMC (2023)
Xijia Zhang, Yue Guo, Simon Stepputtis, Katia P. Sycara, Joseph Campbell
Explaining Agent Behavior with Large Language Models. CoRR (2023)
Ini Oguntola, Joseph Campbell, Simon Stepputtis, Katia P. Sycara
Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning. CoRR (2023)
Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia P. Sycara
Explainable Action Advising for Multi-Agent Reinforcement Learning. ICRA (2023)
Yifan Zhou, Shubham D. Sonawani, Mariano J. Phielipp, Simon Stepputtis, Heni Ben Amor
Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation. CoRL (2022)
Yifan Zhou, Shubham D. Sonawani, Mariano J. Phielipp, Simon Stepputtis, Heni Ben Amor
Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation. CoRR (2022)
Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia P. Sycara
Explainable Action Advising for Multi-Agent Reinforcement Learning. CoRR (2022)
Simon Stepputtis, Maryam Bandari, Stefan Schaal, Heni Ben Amor
A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies. IROS (2022)
Simon Stepputtis, Maryam Bandari, Stefan Schaal, Heni Ben Amor
A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies. CoRR (2022)
Renos Zabounidis, Joseph Campbell, Simon Stepputtis, Dana Hughes, Katia P. Sycara
Concept Learning for Interpretable Multi-Agent Reinforcement Learning. CoRL (2022)
Simon Stepputtis, Joseph Campbell, Mariano J. Phielipp, Stefan Lee, Chitta Baral, Heni Ben Amor
Language-Conditioned Imitation Learning for Robot Manipulation Tasks. NeurIPS (2020)
Simon Stepputtis, Joseph Campbell, Mariano J. Phielipp, Stefan Lee, Chitta Baral, Heni Ben Amor
Language-Conditioned Imitation Learning for Robot Manipulation Tasks. CoRR (2020)
Simon Stepputtis, Joseph Campbell, Mariano J. Phielipp, Chitta Baral, Heni Ben Amor
Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration. CoRR (2019)
Kevin Sebastian Luck, Mel Vecerík, Simon Stepputtis, Heni Ben Amor, Jonathan Scholz
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient. CoRR (2019)
Joseph Campbell, Arne Hitzmann, Simon Stepputtis, Shuhei Ikemoto, Koh Hosoda, Heni Ben Amor
Learning Interactive Behaviors for Musculoskeletal Robots Using Bayesian Interaction Primitives. IROS (2019)
Kevin Sebastian Luck, Mel Vecerík, Simon Stepputtis, Heni Ben Amor, Jonathan Scholz
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient. IROS (2019)
Joseph Campbell, Arne Hitzmann, Simon Stepputtis, Shuhei Ikemoto, Koh Hosoda, Heni Ben Amor
Learning Interactive Behaviors for Musculoskeletal Robots Using Bayesian Interaction Primitives. CoRR (2019)
Joseph Campbell, Simon Stepputtis, Heni Ben Amor
Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks. CoRR (2019)
Joseph Campbell, Simon Stepputtis, Heni Ben Amor
Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks. Robotics: Science and Systems (2019)
David Vogt, Simon Stepputtis, Bernhard Jung, Heni Ben Amor
One-shot learning of human-robot handovers with triadic interaction meshes. Auton. Robots 42 (5) (2018)
Simon Stepputtis, Yezhou Yang, Heni Ben Amor
Extrinsic Dexterity Through Active Slip Control Using Deep Predictive Models. ICRA (2018)
David Vogt, Simon Stepputtis, Steve Grehl, Bernhard Jung, Heni Ben Amor
A system for learning continuous human-robot interactions from human-human demonstrations. ICRA (2017)
David Vogt, Simon Stepputtis, Richard Weinhold, Bernhard Jung, Heni Ben Amor
Learning human-robot interactions from human-human demonstrations (with applications in Lego rocket assembly). Humanoids (2016)