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Learning Models of Adversarial Agent Behavior under Partial
  Observability

Learning Models of Adversarial Agent Behavior under Partial Observability

19 June 2023
Sean Ye
Manisha Natarajan
Zixuan Wu
Rohan R. Paleja
Letian Chen
Matthew C. Gombolay
    AAML
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Papers citing "Learning Models of Adversarial Agent Behavior under Partial Observability"

3 / 3 papers shown
Title
Learning Wheelchair Tennis Navigation from Broadcast Videos with Domain Knowledge Transfer and Diffusion Motion Planning
Learning Wheelchair Tennis Navigation from Broadcast Videos with Domain Knowledge Transfer and Diffusion Motion Planning
Zixuan Wu
Z. Zaidi
Adithya Patil
Qingyu Xiao
Matthew C. Gombolay
58
0
0
29 Sep 2024
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games
Zixuan Wu
Sean Ye
Manisha Natarajan
Matthew C. Gombolay
52
0
0
16 Mar 2024
Propagating State Uncertainty Through Trajectory Forecasting
Propagating State Uncertainty Through Trajectory Forecasting
B. Ivanovic
Yifeng Lin
Shubham Shrivastava
Punarjay Chakravarty
Marco Pavone
56
18
0
07 Oct 2021
1