David Isele

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University of Pennsylvania

Professor at University of Tampa

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Risk-Aware Lane Selection on Highway with Dynamic Obstacles

This paper proposes a discretionary lane selection algorithm. In particu...
04/08/2021 ∙ by Sangjae Bae, et al. ∙ 0 ∙ share

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Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic

Maneuvering in dense traffic is a challenging task for autonomous vehicl...
05/25/2020 ∙ by Maxime Bouton, et al. ∙ 19 ∙ share

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Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals

In a multi-agent setting, the optimal policy of a single agent is largel...
09/27/2019 ∙ by Anahita Mohseni-Kabir, et al. ∙ 34 ∙ share

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Interactive Decision Making for Autonomous Vehicles in Dense Traffic

Dense urban traffic environments can produce situations where accurate p...
09/27/2019 ∙ by David Isele, et al. ∙ 8 ∙ share

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Safe Reinforcement Learning on Autonomous Vehicles

There have been numerous advances in reinforcement learning, but the typ...
09/27/2019 ∙ by David Isele, et al. ∙ 15 ∙ share

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Uncertainty-Aware Data Aggregation for Deep Imitation Learning

Estimating statistical uncertainties allows autonomous agents to communi...
05/07/2019 ∙ by Yuchen Cui, et al. ∙ 8 ∙ share

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CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning

We propose CM3, a new deep reinforcement learning method for cooperative...
09/13/2018 ∙ by Jiachen Yang, et al. ∙ 0 ∙ share

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Selective Experience Replay for Lifelong Learning

Deep reinforcement learning has emerged as a powerful tool for a variety...
02/28/2018 ∙ by David Isele, et al. ∙ 0 ∙ share

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Transferring Autonomous Driving Knowledge on Simulated and Real Intersections

We view intersection handling on autonomous vehicles as a reinforcement ...
11/30/2017 ∙ by David Isele, et al. ∙ 0 ∙ share

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Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer

Knowledge transfer between tasks can improve the performance of learned ...
10/10/2017 ∙ by David Isele, et al. ∙ 0 ∙ share

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Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously Handling Multiple Intersections

We analyze how the knowledge to autonomously handle one type of intersec...
05/02/2017 ∙ by David Isele, et al. ∙ 0 ∙ share

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Navigating Intersections with Autonomous Vehicles using Deep Reinforcement Learning

Providing an efficient strategy to navigate safely through unsignaled in...
05/02/2017 ∙ by David Isele, et al. ∙ 0 ∙ share

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