Finale Doshi-Velez
Representation Balancing MDPs for Off-policy Policy Evaluation
Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo A. Faisal, Finale Doshi-Velez, Emma Brunskill
Neural Information Processing Systems http://nips.cc/
Human-in-the-Loop Interpretability Prior
Isaac Lage, Andrew Ross, Samuel J. Gershman, Been Kim, Finale Doshi-Velez
Neural Information Processing Systems http://nips.cc/
Representation Balancing MDPs for Off-policy Policy Evaluation
Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo A. Faisal, Finale Doshi-Velez, Emma Brunskill
Neural Information Processing Systems http://nips.cc/
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
Taylor W. Killian, Samuel Daulton, George Konidaris, Finale Doshi-Velez
We introduce a new formulation of the Hidden Parameter Markov Decision Process (HiP-MDP), a framework for modeling families of related tasks using lowdimensional latent embeddings.
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
Taylor W. Killian, Samuel Daulton, George Konidaris, Finale Doshi-Velez
Neural Information Processing Systems http://nips.cc/