August 20, Track 1 (0830 - 1130)

Chair:Dr. Mahdi Imani, Dr. Seyede Fatemeh Ghoreishi

Zoom Host: Mr. Yiji Cai

ThAT1 & ThBT1 Workshop 3 - Scalable, Reliable and Online Bayesian Learning

ThAT1 & ThBT1 Workshop 3 - Scalable, Reliable and Online Bayesian Learning

 [1] Bayesian optimization: Preliminaries and Key Ingredients

  Dr. Seyede Fatemeh Ghoreishi, University of Maryland

  [2] Bayesian Optimization: Challenges and Derivative Observations

  Dr. Seyede Fatemeh Ghoreishi, University of Maryland

  [3] Multi-Task and Multi-Fidelity Bayesian Optimization

  Dr. Seyede Fatemeh Ghoreishi, University of Maryland

  [4] Constrained Bayesian Optimization

  Dr. Seyede Fatemeh Ghoreishi, University of Maryland

  [5] Introduction to Reinforcement Learning

  Dr. Mahdi Imani,George Washington University

  [6] Reinforcement Learning Applications

  Dr. Mahdi Imani,George Washington University

  [7] Recent Advances in Reinforcement Learning

  Dr. Mahdi Imani,George Washington University

  [8] Reinforcement Learning: Preliminaries

  Dr. Mahdi Imani,George Washington University

  [9] Temporal Difference (TD) Learning

  Dr. Mahdi Imani,George Washington University

  [10] Off-Policy and On-Policy TD Learning

  Dr. Mahdi Imani,George Washington University

  [11] Deep Reinforcement Learning

  Dr. Mahdi Imani,George Washington University

  [12] Reinforcement Learning Future Directions and Challenges

  Dr. Mahdi Imani,George Washington University

  [13] Inverse Reinforcement Learning

  Dr. Mahdi Imani,George Washington University