Dorsa Sadigh

According to our database1, Dorsa Sadigh authored at least 99 papers between 2011 and 2022.

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Bibliography

2022
Learning reward functions from diverse sources of human feedback: Optimally integrating demonstrations and preferences.
Int. J. Robotics Res., 2022

Training and Inference on Any-Order Autoregressive Models the Right Way.
CoRR, 2022

How do people incorporate advice from artificial agents when making physical judgments?
CoRR, 2022

PLATO: Predicting Latent Affordances Through Object-Centric Play.
CoRR, 2022

Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction.
CoRR, 2022

Weakly Supervised Correspondence Learning.
CoRR, 2022

Learning from Imperfect Demonstrations via Adversarial Confidence Transfer.
CoRR, 2022

Imitation Learning by Estimating Expertise of Demonstrators.
CoRR, 2022

Toward verified artificial intelligence.
Commun. ACM, 2022

Learning latent actions to control assistive robots.
Auton. Robots, 2022

Dynamic multi-robot task allocation under uncertainty and temporal constraints.
Auton. Robots, 2022

Conditional Imitation Learning for Multi-Agent Games.
Proceedings of the HRI 2022: ACM/IEEE International Conference on Human-Robot Interaction, Sapporo, Hokkaido, Japan, March 7, 2022

APReL: A Library for Active Preference-based Reward Learning Algorithms.
Proceedings of the HRI 2022: ACM/IEEE International Conference on Human-Robot Interaction, Sapporo, Hokkaido, Japan, March 7, 2022

2021
Incentivizing Efficient Equilibria in Traffic Networks With Mixed Autonomy.
IEEE Trans. Control. Netw. Syst., 2021

Learning From Imperfect Demonstrations From Agents With Varying Dynamics.
IEEE Robotics Autom. Lett., 2021

Transfer Reinforcement Learning Across Homotopy Classes.
IEEE Robotics Autom. Lett., 2021

PantheonRL: A MARL Library for Dynamic Training Interactions.
CoRR, 2021

Balancing Efficiency and Comfort in Robot-Assisted Bite Transfer.
CoRR, 2021

From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence.
CoRR, 2021

Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams.
CoRR, 2021

Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic.
CoRR, 2021

Social Coordination and Altruism in Autonomous Driving.
CoRR, 2021

Formalizing and guaranteeing human-robot interaction.
Commun. ACM, 2021

Influencing leading and following in human-robot teams.
Auton. Robots, 2021

Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

HyperSPNs: Compact and Expressive Probabilistic Circuits.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ELLA: Exploration through Learned Language Abstraction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Visually Guided Latent Actions for Assistive Teleoperation.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Cooperative Autonomous Vehicles that Sympathize with Human Drivers.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Emergent Prosociality in Multi-Agent Games Through Gifting.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Human Objectives from Sequences of Physical Corrections.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Targeted Data Acquisition for Evolving Negotiation Agents.
Proceedings of the 38th International Conference on Machine Learning, 2021

On the Critical Role of Conventions in Adaptive Human-AI Collaboration.
Proceedings of the 9th International Conference on Learning Representations, 2021

Incentivizing routing choices for safe and efficient transportation in the face of the COVID-19 pandemic.
Proceedings of the ICCPS '21: ACM/IEEE 12th International Conference on Cyber-Physical Systems, 2021

Open-domain clarification question generation without question examples.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning Reward Functions from Scale Feedback.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Influencing Towards Stable Multi-Agent Interactions.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Learning Multimodal Rewards from Rankings.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

LILA: Language-Informed Latent Actions.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Learning Feasibility to Imitate Demonstrators with Different Dynamics.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Efficient and Trustworthy Social Navigation via Explicit and Implicit Robot-Human Communication.
IEEE Trans. Robotics, 2020

Learning Adaptive Language Interfaces through Decomposition.
CoRR, 2020

BLEU Neighbors: A Reference-less Approach to Automatic Evaluation.
CoRR, 2020

Shared Autonomy with Learned Latent Actions.
Proceedings of the Robotics: Science and Systems XVI, 2020

Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving.
Proceedings of the Robotics: Science and Systems XVI, 2020

Active Preference-Based Gaussian Process Regression for Reward Learning.
Proceedings of the Robotics: Science and Systems XVI, 2020

Fitting a Linear Control Policy to Demonstrations with a Kalman Constraint.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Multi-Agent Safe Planning with Gaussian Processes.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning User-Preferred Mappings for Intuitive Robot Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Controlling Assistive Robots with Learned Latent Actions.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans.
Proceedings of the HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, 2020

Learning Latent Representations to Influence Multi-Agent Interaction.
Proceedings of the 4th Conference on Robot Learning, 2020

Continual Adaptation for Efficient Machine Communication.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

Exchangeable Input Representations for Reinforcement Learning.
Proceedings of the 2020 American Control Conference, 2020

2019
Learning How to Dynamically Route Autonomous Vehicles on Shared Roads.
CoRR, 2019

Batch Active Learning Using Determinantal Point Processes.
CoRR, 2019

Object Exchangeability in Reinforcement Learning: Extended Abstract.
CoRR, 2019

Unsupervised Visuomotor Control through Distributional Planning Networks.
Proceedings of the Robotics: Science and Systems XV, 2019

Learning Reward Functions by Integrating Human Demonstrations and Preferences.
Proceedings of the Robotics: Science and Systems XV, 2019

Influencing Leading and Following in Human-Robot Teams.
Proceedings of the Robotics: Science and Systems XV, 2019

Robots that Take Advantage of Human Trust.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Active Learning of Reward Dynamics from Hierarchical Queries.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Deep Local Trajectory Replanning and Control for Robot Navigation.
Proceedings of the International Conference on Robotics and Automation, 2019

Hierarchical Game-Theoretic Planning for Autonomous Vehicles.
Proceedings of the International Conference on Robotics and Automation, 2019

Safe and Interactive Autonomy: A Journey Starting from Formal Methods (Keynote).
Proceedings of the 2019 Formal Methods in Computer Aided Design, 2019

Human-robot interaction for truck platooning using hierarchical dynamic games.
Proceedings of the 17th European Control Conference, 2019

Learning from My Partner's Actions: Roles in Decentralized Robot Teams.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Asking Easy Questions: A User-Friendly Approach to Active Reward Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

The Green Choice: Learning and Influencing Human Decisions on Shared Roads.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Object Exchangability in Reinforcement Learning.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models.
Proceedings of the 2019 American Control Conference, 2019

2018
Safe Autonomy Under Perception Uncertainty Using Chance-Constrained Temporal Logic.
J. Autom. Reason., 2018

Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state.
Auton. Robots, 2018

Altruistic Autonomy: Beating Congestion on Shared Roads.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Multi-Agent Generative Adversarial Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Batch Active Preference-Based Learning of Reward Functions.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Maximizing Road Capacity Using Cars that Influence People.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Active Preference-Based Learning of Reward Functions.
Proceedings of the Robotics: Science and Systems XIII, 2017

Stochastic predictive freeway ramp metering from Signal Temporal Logic specifications.
Proceedings of the 2017 American Control Conference, 2017

2016
Towards Verified Artificial Intelligence.
CoRR, 2016

Planning for Autonomous Cars that Leverage Effects on Human Actions.
Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

Safe Control under Uncertainty with Probabilistic Signal Temporal Logic.
Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

Towards trustworthy automation: User interfaces that convey internal and external awareness.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Information gathering actions over human internal state.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Diagnosis and Repair for Synthesis from Signal Temporal Logic Specifications.
Proceedings of the 19th International Conference on Hybrid Systems: Computation and Control, 2016

Probabilistic controller synthesis for freeway traffic networks.
Proceedings of the 2016 American Control Conference, 2016

2015
Safe Control under Uncertainty.
CoRR, 2015

Reactive synthesis from signal temporal logic specifications.
Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control, 2015

Formal methods for semi-autonomous driving.
Proceedings of the 52nd Annual Design Automation Conference, 2015

2014
Synthesis for Human-in-the-Loop Control Systems.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2014

Safety envelope for security.
Proceedings of the 3rd International Conference on High Confidence Networked Systems (part of CPS Week), 2014

User interface design and verification for semi-autonomous driving.
Proceedings of the 3rd International Conference on High Confidence Networked Systems (part of CPS Week), 2014

A learning based approach to control synthesis of Markov decision processes for linear temporal logic specifications.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Data-Driven Probabilistic Modeling and Verification of Human Driver Behavior.
Proceedings of the 2014 AAAI Spring Symposia, 2014

2013
Robust Subspace System Identification via Weighted Nuclear Norm Optimization.
CoRR, 2013

2012
Automating exercise generation: a step towards meeting the MOOC challenge for embedded systems.
Proceedings of the Workshop on Embedded and Cyber-Physical Systems Education, 2012

2011
Synthesis with Clairvoyance.
Proceedings of the Hardware and Software: Verification and Testing, 2011

Timing analysis of interrupt-driven programs under context bounds.
Proceedings of the International Conference on Formal Methods in Computer-Aided Design, 2011


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