Search Results for author: Zarif Ikram

Found 3 papers, 1 papers with code

Evolution Guided Generative Flow Networks

no code implementations3 Feb 2024 Zarif Ikram, Ling Pan, Dianbo Liu

Generative Flow Networks (GFlowNets) are a family of probabilistic generative models that learn to sample compositional objects proportional to their rewards.

Evolutionary Algorithms

Probabilistic Generative Modeling for Procedural Roundabout Generation for Developing Countries

no code implementations5 Oct 2023 Zarif Ikram, Ling Pan, Dianbo Liu

Due to limited resources and fast economic growth, designing optimal transportation road networks with traffic simulation and validation in a cost-effective manner is vital for developing countries, where extensive manual testing is expensive and often infeasible.

Procedural Generation of Complex Roundabouts for Autonomous Vehicle Testing

1 code implementation31 Mar 2023 Zarif Ikram, Golam Md Muktadir, Jim Whitehead

High-definition roads are an essential component of realistic driving scenario simulation for autonomous vehicle testing.

Autonomous Driving

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