Frank L. Lewis | DeepAI

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∙ 01/05/2023

Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum Games

In this paper, we formulate inverse reinforcement learning (IRL) as an e...

0 Wenqian Xue, et al. ∙

∙ 12/29/2021

Learning nonlinear dynamics in synchronization of knowledge-based leader-following networks

Knowledge-based leader-following synchronization problem of heterogeneou...

0 Shimin Wang, et al. ∙

∙ 01/01/2021

Sequential Convex Programming for Collaboration of Connected and Automated Vehicles

This paper investigates the collaboration of multiple connected and auto...

0 Xiaoxue Zhang, et al. ∙

∙ 01/01/2021

Semi-Definite Relaxation Based ADMM for Cooperative Planning and Control of Connected Autonomous Vehicles

This paper investigates the cooperative planning and control problem for...

0 Xiaoxue Zhang, et al. ∙

∙ 11/21/2020

Neural Network iLQR: A New Reinforcement Learning Architecture

As a notable machine learning paradigm, the research efforts in the cont...

0 Zilong Cheng, et al. ∙

∙ 01/22/2020

Local Policy Optimization for Trajectory-Centric Reinforcement Learning

The goal of this paper is to present a method for simultaneous trajector...

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∙ 10/26/2018

On the Identifiability of the Influence Model for Stochastic Spatiotemporal Spread Processes

The influence model is a discrete-time stochastic model that succinctly ...

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