Omer Gottesman

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 34

Top Topics

Reinforcement Learning

Decomposition Method

Top Venues

Publications

Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy. CoRR (2024)
Omer Gottesman, Kavosh Asadi, Cameron S. Allen, Samuel Lobel, George Konidaris, Michael L. Littman
Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces. AISTATS (2023)
Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor
TD Convergence: An Optimization Perspective. CoRR (2023)
Haotian Fu, Jiayu Yao, Omer Gottesman, Finale Doshi-Velez, George Konidaris
Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs. ICLR (2023)
Abhishek Sharma, Sonali Parbhoo, Omer Gottesman, Finale Doshi-Velez
Robust Decision-Focused Learning for Reward Transfer. CoRR (2023)
Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor
TD Convergence: An Optimization Perspective. NeurIPS (2023)
Akhil Bagaria, Ben Abbatematteo, Omer Gottesman, Matt Corsaro, Sreehari Rammohan, George Dimitri Konidaris
Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning. NeurIPS (2023)
Saket Tiwari, Omer Gottesman, George Dimitri Konidaris
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces. CoRR (2023)
Neta Ravid Tannenbaum, Omer Gottesman, Azadeh Assadi, Mjaye Mazwi, Uri Shalit, Danny Eytan
iCVS - Inferring Cardio-Vascular hidden States from physiological signals available at the bedside. PLoS Comput. Biol. 19 (9) (2023)
Kelly W. Zhang, Omer Gottesman, Finale Doshi-Velez
A Bayesian Approach to Learning Bandit Structure in Markov Decision Processes. CoRR (2022)
Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Taesup Kim, Michael L. Littman, Alexander J. Smola
Faster Deep Reinforcement Learning with Slower Online Network. NeurIPS (2022)
Sam Lobel, Omer Gottesman, Cameron Allen, Akhil Bagaria, George Konidaris
Optimistic Initialization for Exploration in Continuous Control. AAAI (2022)
Ramtin Keramati, Omer Gottesman, Leo Anthony Celi, Finale Doshi-Velez, Emma Brunskill
Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation. CHIL (2022)
Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Michael L. Littman, Alexander J. Smola
Deep Q-Network with Proximal Iteration. CoRR (2021)
Ramtin Keramati, Omer Gottesman, Leo Anthony Celi, Finale Doshi-Velez, Emma Brunskill
Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation. CoRR (2021)
Simon P. Shen, Yecheng Jason Ma, Omer Gottesman, Finale Doshi-Velez
State Relevance for Off-Policy Evaluation. CoRR (2021)
Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris
Learning Markov State Abstractions for Deep Reinforcement Learning. CoRR (2021)
Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris
Learning Markov State Abstractions for Deep Reinforcement Learning. NeurIPS (2021)
Simon P. Shen, Yecheng Jason Ma, Omer Gottesman, Finale Doshi-Velez
State Relevance for Off-Policy Evaluation. ICML (2021)
Omer Gottesman, Kavosh Asadi, Cameron Allen, Sam Lobel, George Konidaris, Michael L. Littman
Coarse-Grained Smoothness for RL in Metric Spaces. CoRR (2021)
Samuel Håkansson, Viktor Lindblom, Omer Gottesman, Fredrik D. Johansson
Learning to search efficiently for causally near-optimal treatments. CoRR (2020)
Samuel Håkansson, Viktor Lindblom, Omer Gottesman, Fredrik D. Johansson
Learning to search efficiently for causally near-optimal treatments. NeurIPS (2020)
Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo Anthony Celi, Emma Brunskill, Finale Doshi-Velez
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions. CoRR (2020)
Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo A. Celi, Emma Brunskill, Finale Doshi-Velez
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions. ICML (2020)
Omer Gottesman, Weiwei Pan, Finale Doshi-Velez
A general method for regularizing tensor decomposition methods via pseudo-data. CoRR (2019)
Omer Gottesman, Yao Liu, Scott Sussex, Emma Brunskill, Finale Doshi-Velez
Combining parametric and nonparametric models for off-policy evaluation. ICML (2019)
Omer Gottesman, Yao Liu, Scott Sussex, Emma Brunskill, Finale Doshi-Velez
Combining Parametric and Nonparametric Models for Off-Policy Evaluation. CoRR (2019)
Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-Wei H. Lehman, Andrew Slavin Ross, Aldo Faisal, Finale Doshi-Velez
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning. CoRR (2019)
Aniruddh Raghu, Omer Gottesman, Yao Liu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill
Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters. CoRR (2018)
Omer Gottesman, Fredrik D. Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-Wei H. Lehman, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David A. Sontag, Finale Doshi-Velez
Evaluating Reinforcement Learning Algorithms in Observational Health Settings. CoRR (2018)
Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill
Representation Balancing MDPs for Off-Policy Policy Evaluation. CoRR (2018)
Omer Gottesman, Weiwei Pan, Finale Doshi-Velez
Weighted Tensor Decomposition for Learning Latent Variables with Partial Data. AISTATS (2018)
Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-Wei H. Lehman, Andrew Slavin Ross, Aldo Faisal, Finale Doshi-Velez
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning. AMIA (2018)
Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo A. Faisal, Finale Doshi-Velez, Emma Brunskill
Representation Balancing MDPs for Off-policy Policy Evaluation. NeurIPS (2018)