Search Results for author: Jerrick Hoang

Found 5 papers, 1 papers with code

Physically Feasible Vehicle Trajectory Prediction

no code implementations29 Apr 2021 Harshayu Girase, Jerrick Hoang, Sai Yalamanchi, Micol Marchetti-Bowick

Predicting the future motion of actors in a traffic scene is a crucial part of any autonomous driving system.

Autonomous Driving Trajectory Prediction

Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks

no code implementations17 Dec 2019 Donsuk Lee, Yiming Gu, Jerrick Hoang, Micol Marchetti-Bowick

In this work, we aim to predict the future motion of vehicles in a traffic scene by explicitly modeling their pairwise interactions.

Autonomous Driving Trajectory Prediction

Benchmarking Model-Based Reinforcement Learning

2 code implementations3 Jul 2019 Tingwu Wang, Xuchan Bao, Ignasi Clavera, Jerrick Hoang, Yeming Wen, Eric Langlois, Shunshi Zhang, Guodong Zhang, Pieter Abbeel, Jimmy Ba

Model-based reinforcement learning (MBRL) is widely seen as having the potential to be significantly more sample efficient than model-free RL.

Model-based Reinforcement Learning reinforcement-learning

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