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Cong Lu

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Deep Reinforcement Learning, Meta-Learning, Bayesian Optimisation

I am a DPhil student supervised by Michael A. Osborne and Yee Whye Teh. My research interests span deep reinforcement learning, meta-learning and Bayesian Optimisation. I am particularly interested in offline reinforcement learning (including generalisation to new tasks and uncertainty quantification for pessimistic MDPs) and reinforcement learning as probabilistic inference. I obtained my undergraduate degree in Mathematics and Computer Science from the University of Oxford.

Publications

2021

• P. J. Ball , C. Lu , J. Parker-Holder , S. Roberts , Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment, International Conference on Machine Learning, 2021.
  
  @article{ball2021augmented,
    title = {Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment},
    author = {Ball, Philip J. and Lu, Cong and Parker-Holder, Jack and Roberts, Stephen},
    year = {2021},
    journal = {International Conference on Machine Learning}
  }
  

• X. Wan , V. Nguyen , H. Ha , B. Ru , C. Lu , M. A. Osborne , Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces, International Conference on Machine Learning, 2021.
  
  @article{wan2021think,
    title = {Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces},
    author = {Wan, Xingchen and Nguyen, Vu and Ha, Huong and Ru, Binxin and Lu, Cong and Osborne, Michael A.},
    year = {2021},
    journal = {International Conference on Machine Learning}
  }
  

• L. Zintgraf , L. Feng , C. Lu , M. Igl , K. Hartikainen , K. Hofmann , S. Whiteson , Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning, International Conference on Machine Learning, 2021.
  
  @article{zintgraf2021exploration,
    title = {Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning},
    author = {Zintgraf, Luisa and Feng, Leo and Lu, Cong and Igl, Maximilian and Hartikainen, Kristian and Hofmann, Katja and Whiteson, Shimon},
    year = {2021},
    journal = {International Conference on Machine Learning}
  }
  

• T. G. J. Rudner , C. Lu , M. A. Osborne , Y. Gal , Y. W. Teh , On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations, ICLR 2021 RobustML Workshop, 2021.
  
  @article{rudner2021pathologies,
    title = {On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations},
    author = {Rudner, Tim G. J. and Lu, Cong and Osborne, Michael A. and Gal, Yarin and Teh, Yee Whye},
    year = {2021},
    journal = {ICLR 2021 RobustML Workshop}
  }