Predicting Crash Injury Severity in Smart Cities: a Novel Computational Approach with Wide and Deep Learning Model.

Integrated Decision and Control: Toward Interpretable and Computationally Efficient Driving Intelligence.

Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors.

Longitudinal Platoon Control of Connected Vehicles: Analysis and Verification.

The Prediction of Urban Road Traffic Congestion by Using a Deep Stacked Long Short-Term Memory Network.

Adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints.

Direct and indirect reinforcement learning.

Cover: International Journal of Intelligent Systems, Volume 36 Issue 8 August 2021.

Decision-Making under On-Ramp merge Scenarios by Distributional Soft Actor-Critic Algorithm.

Recurrent Model Predictive Control.

Steadily Learn to Drive with Virtual Memory.

Centralized Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization.

Robust Distributed Consensus Control of Uncertain Multiagents Interacted by Eigenvalue-Bounded Topologies.

Numerically Stable Dynamic Bicycle Model for Discrete-time Control.

Centralized Coordination of Connected Vehicles at Intersections using Graphical Mixed Integer Optimization.

Mixed Reinforcement Learning with Additive Stochastic Uncertainty.

Hierarchical Reinforcement Learning for Self-Driving Decision-Making without Reliance on Labeled Driving Data.

Time Difference Penalized Traffic Signal Timing by LSTM Q-Network to Balance Safety and Capacity at Intersections.

Centralized Conflict-free Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization.

Deep adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints.

Distributed Adaptive Sliding Mode Control of Vehicular Platoon With Uncertain Interaction Topology.