David Isele

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University of Pennsylvania

Professor at University of Tampa

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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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. ∙ 18 ∙ 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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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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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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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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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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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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David Isele

Featured Co-authors

Mykel J. Kochenderfer

Hongyuan Zha

Scott Niekum

Kikuo Fujimura

Akansel Cosgun

Alireza Nakhaei

Maxime Bouton

Mohammad Rostami

Jiachen Yang

Eric Eaton

Yuchen Cui

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

Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic

Safe Reinforcement Learning on Autonomous Vehicles

Uncertainty-Aware Data Aggregation for Deep Imitation Learning

Interactive Decision Making for Autonomous Vehicles in Dense Traffic

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

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

Navigating Intersections with Autonomous Vehicles using Deep Reinforcement Learning

Transferring Autonomous Driving Knowledge on Simulated and Real Intersections

Selective Experience Replay for Lifelong Learning

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