187 citations · 464 across the 21 of their papers we have counts for
8 papers · 1 filter
Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians
Bruno Brito, Hai Zhu, Wei Pan +1
Prediction of human motions is key for safe navigation of autonomous robots among humans. In cluttered environments, several motion hypotheses may exist for a pedestrian, due to it…
Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee
Minghao Han, Yuan Tian, Lixian Zhang +2
Reinforcement learning (RL) is promising for complicated stochastic nonlinear control problems. Without using a mathematical model, an optimal controller can be learned from data e…
Lyapunov-Based Reinforcement Learning State Estimator
Liang Hu, Chengwei Wu, Wei Pan
In this paper, we consider the state estimation problem for nonlinear stochastic discrete-time systems. We combine Lyapunov's method in control theory and deep reinforcement learni…
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control
Qingrui Zhang, Hao Dong, Wei Pan
Decentralized multi-agent control has broad applications, ranging from multi-robot cooperation to distributed sensor networks. In decentralized multi-agent control, systems are com…
Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation
Baozhou Zhu, Zaid Al-Ars, Wei Pan
Binary Convolutional Neural Networks (CNNs) can significantly reduce the number of arithmetic operations and the size of memory storage, which makes the deployment of CNNs on mobil…
Model-Reference Reinforcement Learning for Collision-Free Tracking Control of Autonomous Surface Vehicles
Qingrui Zhang, Wei Pan, Vasso Reppa
This paper presents a novel model-reference reinforcement learning algorithm for the intelligent tracking control of uncertain autonomous surface vehicles with collision avoidance.…