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Matthew Gombolay

31 papers · 2013–2025 · 10 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (46) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Gold πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Keyword Champion (8) πŸ—ƒοΈ Keyword Collector (134) πŸ“ˆ Trend Setter 🌈 Renaissance Researcher (6) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze

Venues

CoRL (8) RSS (8) ICLR (4) NeurIPS (3) AISTATS (2) IJCAI (2) AAAI (1) EACL (1) EMNLP (1) NAACL (1)

Top co-authors

Andrew Silva (7) Letian Chen (5) Nakul Gopalan (4) Rohan Paleja (4) Julie Shah (4) Pradyumna Tambwekar (4) Esmaeil Seraj (3) Zulfiqar Haider Zaidi (3) Sravan Jayanthi (2) Lakshmi Seelam (2)

Research topics

Artificial Intelligence (22) Machine Learning (19) Core AI (16) Learning Types (15) Reinforcement Learning (14) Methods (10) Learning Paradigms (8) Applications (6) Core Methods (6) Robotics (4) Application Areas (4) Capabilities (4) Natural Language Processing (3) Deep Learning (2) Healthcare & Medicine (1)

Keywords

learning from demonstration (8) imitation learning (5) reinforcement learning (5) human-robot interaction (4) policy gradient (3) robot team (2) interpretable policy (2) multi-robot scheduling (2) continuous control (2) mutual information (2) apprenticeship learning (2) hierarchical abstraction (2) inverse reinforcement learning (2) representation learning (2) robotic manipulation (2) unsupervised learning (2) sample efficiency (2) reward learning (2) multi-agent reinforcement learning (2) online learning (1)

Papers

Generalized Behavior Learning from Diverse Demonstrations ICLR 2025 Generating CAD Code with Vision-Language Models for 3D Designs ICLR 2025 CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning ICLR 2024 Developing Design Guidelines for Older Adults with Robot Learning from Demonstration RSS 2024 Human-Robot Alignment through Interactivity and Interpretability: Don't Assume a ``Spherical Human'' IJCAI 2024 A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting EMNLP 2023 DROID: Learning from Offline Heterogeneous Demonstrations via Reward-Policy Distillation CoRL 2023 FedPerC: Federated Learning for Language Generation with Personal and Context Preference Embeddings EACL 2023 Hijacking Robot Teams Through Adversarial Communication CoRL 2023 Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction RSS 2023 Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams NeurIPS 2023 Contrastive Decision Transformers CoRL 2022 Cross-Loss Influence Functions to Explain Deep Network Representations AISTATS 2022 Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations CoRL 2022 Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming ICLR 2022 Learning Interpretable, High-Performing Policies for Autonomous Driving RSS 2022 Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions RSS 2022 Reciprocal MIND MELD: Improving Learning From Demonstration via Personalized, Reciprocal Teaching CoRL 2022 Encoding Human Domain Knowledge to Warm Start Reinforcement Learning AAAI 2021 "Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer CoRL 2021 Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions CoRL 2021 The Utility of Explainable AI in Ad Hoc Human-Machine Teaming NeurIPS 2021 Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers NAACL 2021 Heterogeneous Graph Attention Networks for Scalable Multi-Robot Scheduling with Temporospatial Constraints RSS 2020 Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations NeurIPS 2020 Learning from Suboptimal Demonstration via Self-Supervised Reward Regression CoRL 2020 Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning AISTATS 2020 Apprenticeship Scheduling: Learning to Schedule from Human Experts IJCAI 2016 Robotic Assistance in Coordination of Patient Care RSS 2016 Decision-Making Authority, Team Efficiency and Human Worker Satisfaction in Mixed Human-Robot Teams RSS 2014 Fast Scheduling of Multi-Robot Teams with Temporospatial Constraints RSS 2013