David Fridovich-Keil

According to our database1, David Fridovich-Keil authored at least 21 papers between 2017 and 2020.

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Bibliography

2020
Toward Distributed Energy Services: Decentralizing Optimal Power Flow With Machine Learning.
IEEE Trans. Smart Grid, 2020

Confidence-aware motion prediction for real-time collision avoidance<sup>1</sup>.
Int. J. Robotics Res., 2020

Technical Report: Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning.
CoRR, 2020

Feedback Linearization for Uncertain Systems via Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Inference-Based Strategy Alignment for General-Sum Differential Games.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Feedback Linearization for Unknown Systems via Reinforcement Learning.
CoRR, 2019

Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games.
CoRR, 2019

A Classification-based Approach for Approximate Reachability.
Proceedings of the International Conference on Robotics and Automation, 2019

Safely Probabilistically Complete Real-Time Planning and Exploration in Unknown Environments.
Proceedings of the International Conference on Robotics and Automation, 2019

A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Safe and Complete Real-Time Planning and Exploration in Unknown Environments.
CoRR, 2018

A Successive-Elimination Approach to Adaptive Robotic Sensing.
CoRR, 2018

Data-Driven Decentralized Optimal Power Flow.
CoRR, 2018

Classification-based Approximate Reachability with Guarantees Applied to Safe Trajectory Tracking.
CoRR, 2018

Probabilistically Safe Robot Planning with Confidence-Based Human Predictions.
Proceedings of the Robotics: Science and Systems XIV, 2018

Planning, Fast and Slow: A Framework for Adaptive Real-Time Safe Trajectory Planning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

AtomMap: A probabilistic amorphous 3D map representation for robotics and surface reconstruction.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

A model predictive control approach to flow pacing for TCP.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017


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