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Software Engineer
,
Waymo
2020–
Publications
(11)
Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control
arXiv.org · 2017
223
cited
Flow: A Modular Learning Framework for Mixed Autonomy Traffic
IEEE Transactions on robotics · 2017
201
cited
Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion
International Conference on Intelligent Transportation Systems · 2018
96
cited
Robust Reinforcement Learning using Adversarial Populations
arXiv.org · 2020
89
cited
Flow: A Modular Learning Framework for Autonomy in Traffic.
2017
62
cited
Framework for control and deep reinforcement learning in traffic
2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) · 2017
45
cited
Flow: Deep Reinforcement Learning for Control in SUMO
2018
39
cited
Optimizing Mixed Autonomy Traffic Flow with Decentralized Autonomous Vehicles and Multi-Agent Reinforcement Learning
ACM Trans. Cyber Phys. Syst. · 2023
19
cited
Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL
arXiv.org · 2020
13
cited
Flow: Open Source Reinforcement Learning for Traffic Control
2018
7
cited
On Training Robust Policies for Flow Smoothing
2020
1
cited
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Kanaad Parvate | Researcher Profile | Sotabase | Sotabase