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Reinforcement Learning, Meta-Learning & Robotics

2022

  • Semi-Supervised Generative Models for Multiagent Trajectories. [pdf]
    • Dennis Fassmeyer, Pascal Fassmeyer, Ulf Brefeld. Neurips 2022

2020

  • Semi-Supervised Neural Architecture Search. [pdf] [code]

    • Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu. NeurIPS 2020
  • Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery. [pdf]

    • Kristian Hartikainen, Xinyang Geng, Tuomas Haarnoja, Sergey Levine. ICLR 2020

2018

  • Meta-Learning for Semi-Supervised Few-Shot Classification. [pdf] [code]
    • Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel. ICLR 2018

2017

  • Generalizing Skills with Semi-Supervised Reinforcement Learning. [pdf]
    • Takeru Miyato, Andrew M. Dai, Ian Goodfellow. ICLR 2017