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Adversarial Search and Tracking with Multiagent Reinforcement Learning
  in Sparsely Observable Environment

Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment

20 June 2023
Zixuan Wu
Sean Ye
Manisha Natarajan
Letian Chen
Rohan R. Paleja
Matthew C. Gombolay
ArXivPDFHTML

Papers citing "Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment"

5 / 5 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
67
0
0
29 Sep 2024
Efficient Trajectory Forecasting and Generation with Conditional Flow
  Matching
Efficient Trajectory Forecasting and Generation with Conditional Flow Matching
Sean Ye
Matthew C. Gombolay
35
2
0
16 Mar 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
80
6
0
16 Mar 2024
Learning Models of Adversarial Agent Behavior under Partial
  Observability
Learning Models of Adversarial Agent Behavior under Partial Observability
Sean Ye
Manisha Natarajan
Zixuan Wu
Rohan R. Paleja
Letian Chen
Matthew C. Gombolay
AAML
43
6
0
19 Jun 2023
Learning Continuous Control Policies for Information-Theoretic Active
  Perception
Learning Continuous Control Policies for Information-Theoretic Active Perception
Pengzhi Yang
Yuhan Liu
Shumon Koga
Arash Asgharivaskasi
Nikolay A. Atanasov
28
11
0
26 Sep 2022
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