Matthew Gombolay
31 papers · 2013–2025 · 10 conferences · across top CS/AI conferences
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CORL (8)
RSS (8)
ICLR (4)
NIPS (3)
AISTATS (2)
IJCAI (2)
AAAI (1)
EACL (1)
EMNLP (1)
NAACL (1)
Top co-authors
Keywords
learning from demonstration
(8)
human-robot interaction
(4)
imitation learning
(4)
reinforcement learning
(4)
policy gradient
(2)
representation learning
(2)
interpretable policy
(2)
sample efficiency
(2)
reward learning
(2)
hierarchical abstraction
(2)
multi-robot scheduling
(2)
inverse reinforcement learning
(2)
apprenticeship learning
(2)
robot team
(2)
robotic manipulation
(2)
online learning
(1)
offline reinforcement learning
(1)
few-shot learning
(1)
contrastive learning
(1)
motion planning
(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
Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams
NIPS 2023
Hijacking Robot Teams Through Adversarial Communication
CORL 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
Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction
RSS 2023
Cross-Loss Influence Functions to Explain Deep Network Representations
AISTATS 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving
RSS 2022
Contrastive Decision Transformers
CORL 2022
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
CORL 2022
Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions
RSS 2022
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming
ICLR 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
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
NIPS 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
Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers
NAACL 2021
Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning
AISTATS 2020
Heterogeneous Graph Attention Networks for Scalable Multi-Robot Scheduling with Temporospatial Constraints
RSS 2020
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression
CORL 2020
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations
NIPS 2020
Robotic Assistance in Coordination of Patient Care
RSS 2016
Apprenticeship Scheduling: Learning to Schedule from Human Experts
IJCAI 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