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01/20/2023
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning
Future generations of mobile networks are expected to contain more and m...
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11/16/2022
Model Based Residual Policy Learning with Applications to Antenna Control
Non-differentiable controllers and rule-based policies are widely used f...
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12/27/2021
A Graph Attention Learning Approach to Antenna Tilt Optimization
6G will move mobile networks towards increasing levels of complexity. To...
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09/30/2021
Coordinated Reinforcement Learning for Optimizing Mobile Networks
Mobile networks are composed of many base stations and for each of them ...
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05/25/2020
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic
Maneuvering in dense traffic is a challenging task for autonomous vehicl...
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01/11/2020
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes
Autonomous systems are often required to operate in partially observable...
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06/26/2019
Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic
Decision making in dense traffic can be challenging for autonomous vehic...
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04/25/2019
Pedestrian Collision Avoidance System for Scenarios with Occlusions
Safe autonomous driving in urban areas requires robust algorithms to avo...
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04/25/2019
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments
Navigating urban environments represents a complex task for automated ve...
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04/15/2019
Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving
Designing reliable decision strategies for autonomous urban driving is c...
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02/06/2018