activity
20172024
most citedLearning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs

11 citations · 20 across the 5 of their papers we have counts for

collaborators

6 papers

cs.NI2024

Towards Energy- and Cost-Efficient 6G Networks

Tommy Azzino, Aria HasanzadeZonuzy, Jianghong Luo +2

As the world enters the journey toward the 6th generation (6G) of wireless technology, the promises of ultra-high data rates, unprecedented low latency, and a massive surge in conn…

cs.LG2021★ 9 cited

DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning

Archana Bura, Aria HasanzadeZonuzy, Dileep Kalathil +2

Safe reinforcement learning is extremely challenging--not only must the agent explore an unknown environment, it must do so while ensuring no safety constraint violations. We formu…

cs.LG2020★ 11 cited

Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs

Aria HasanzadeZonuzy, Archana Bura, Dileep Kalathil +1

Many physical systems have underlying safety considerations that require that the policy employed ensures the satisfaction of a set of constraints. The analytical formulation usual…

cs.NI2019

Broadcasting Real-Time Flows in Integrated Backhaul and Access 5G Networks

Aria HasanzadeZonuzy, I-Hong Hou, Srinivas Shakkottai

This paper studies the problem of broadcasting real-time flows in multi-hop wireless networks. We consider that each packet has a stringent deadline, and each node in the network o…

eess.SY2018

Assessing Strong String Stability of Constant Spacing Policy under Speed Limit Fluctuations

Sina Arefizadeh, Aria Hasanzadezonuzy, Alireza Talebpour +1

The speed limit changes frequently throughout the transportation network, due to either safety (e.g., change in geometry) or congestion management (e.g., speed harmonization system…

eess.SY2017

Collaborative Platooning of Automated Vehicles Using Variable Time-Gaps

Aria HasanzadeZonuzy, Sina Arefizadeh, Alireza Talebpour +2

Connected automated vehicles (CAVs) could potentially be coordinated to safely attain the maximum traffic flow on roadways under dynamic traffic patterns, such as those engendered…