research
          
      
      ∙
      03/14/2022
    Safe adaptation in multiagent competition
Achieving the capability of adapting to ever-changing environments is a ...
          
            research
          
      
      ∙
      03/02/2020
    Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph
The complexity of multiagent reinforcement learning (MARL) in multiagent...
          
            research
          
      
      ∙
      09/18/2019
    Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games
This paper presents an algorithmic framework for learning robust policie...
          
            research
          
      
      ∙
      02/14/2019
    Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning
We pose an active perception problem where an autonomous agent actively ...
          
            research
          
      
      ∙
      12/13/2018
    A Probe into Understanding GAN and VAE models
Both generative adversarial network models and variational autoencoders ...
          
            research
          
      
      ∙
      12/13/2018