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Trajectory prediction and generation are crucial for autonomous robots in dynamic environments.
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Target tracking by particle filtering in binary sensor networks
Petar M Djuric, Mahesh Vemula, and Mónica F Bugallo · 2008
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Unscented kalman filters for multiple target tracking with symmetric measurement equations
William F Leven and Aaron D Lanterman · 2009
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Sampling-based algorithms for optimal motion planning
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Matthew Dunbabin and Lino Marques · 2012
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Visual object target tracking using particle filter: a survey
G Mallikarjuna Rao and Ch Satyanarayana · 2013
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J. Carvalho, A.T. Le, M. Baierl, D. Koert, and J. Peters · 2023
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Simulation-free schrödinger bridges via score and flow matching
Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, and Yoshua Bengio · 2023
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Adversarial search and tracking with multiagent reinforcement learning in sparsely observable environment
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Score-based generative modeling through stochastic differential equations
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Diffusion models for multi-target adversarial tracking
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Learning models of adversarial agent behavior under partial observability
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Improving and generalizing flow-based generative models with minibatch optimal transport
Alexander Tong, Kilian FATRAS, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, and Yoshua Bengio · 2024
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