Eugene Vinitsky
Orcid: 0000-0003-2372-4944
According to our database1,
Eugene Vinitsky
authored at least 31 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
From Sim to Real: A Pipeline for Training and Deploying Traffic Smoothing Cruise Controllers.
IEEE Trans. Robotics, 2024
Human-compatible driving partners through data-regularized self-play reinforcement learning.
CoRR, 2024
Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test.
CoRR, 2024
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs.
CoRR, 2024
Human-compatible driving agents through data-regularized self-play reinforcement learning.
Proceedings of the 1st Reinforcement Learning Conference, 2024
2023
Optimizing Mixed Autonomy Traffic Flow with Decentralized Autonomous Vehicles and Multi-Agent Reinforcement Learning.
ACM Trans. Cyber Phys. Syst., April, 2023
IEEE Trans Autom. Sci. Eng., April, 2023
Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the Conference on Lifelong Learning Agents, 2023
2022
From sim-to-real: learning and deploying autonomous vehicle controllers that improve transportation metrics
PhD thesis, 2022
IEEE Trans. Robotics, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings.
CoRR, 2021
Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers.
CoRR, 2021
Fuel Consumption Reduction of Multi-Lane Road Networks using Decentralized Mixed-Autonomy Control.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020
Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Zero-Shot Autonomous Vehicle Policy Transfer: From Simulation to Real-World via Adversarial Learning.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
2019
Simulation to scaled city: zero-shot policy transfer for traffic control via autonomous vehicles.
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 2019
2018
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Proceedings of the 2nd Annual Conference on Robot Learning, 2018
2017
CoRR, 2017
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017