Adam White
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
8
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Position: Lifetime tuning is incompatible with continual reinforcement learning. | Golnaz Mesbahi, Parham Mohammad Panahi, Olya Mastikhina, Steven Tang, Martha White, Adam White |
| 2024 | AAAI | Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint). | Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White |
| 2024 | ICML | Position: Benchmarking is Limited in Reinforcement Learning Research. | Scott M. Jordan, Adam White, Bruno Castro da Silva, Martha White, Philip S. Thomas |
| 2024 | ICML | Position: Application-Driven Innovation in Machine Learning. | David Rolnick, Aln Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White |
| 2023 | ICLR | Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement. | Samuel Neumann, Sungsu Lim, Ajin George Joseph, Yangchen Pan, Adam White, Martha White |
| 2023 | ICLR | The In-Sample Softmax for Offline Reinforcement Learning. | Chenjun Xiao, Han Wang, Yangchen Pan, Adam White, Martha White |
| 2022 | AAAI | Learning Expected Emphatic Traces for Deep RL. | Ray Jiang, Shangtong Zhang, Veronica Chelu, Adam White, Hado van Hasselt |
| 2021 | ICML | Emphatic Algorithms for Deep Reinforcement Learning. | Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt |
| 2020 | AMIA | API Connectivity: Real-World Uses and Implementation Experiences in using APIs and Third-party Apps for Data Exchange and Research. | Anita Samarth, Kevin Chaney, Dave Levin, Adam White, Ricky Sahu |
| 2020 | ECAI | Measurable Counterfactual Local Explanations for Any Classifier. | Adam White, Artur S. d'Avila Garcez |
| 2020 | ICLR | Training Recurrent Neural Networks Online by Learning Explicit State Variables. | Somjit Nath, Vincent Liu, Alan Chan, Xin Li, Adam White, Martha White |
| 2020 | ICML | Gradient Temporal-Difference Learning with Regularized Corrections. | Sina Ghiassian, Andrew Patterson, Shivam Garg, Dhawal Gupta, Adam White, Martha White |
| 2019 | AAAI | Meta-Descent for Online, Continual Prediction. | Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White |
| 2019 | IJCAI | Planning with Expectation Models. | Yi Wan, Muhammad Zaheer, Adam White, Martha White, Richard S. Sutton |
| 2018 | IJCAI | Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains. | Yangchen Pan, Muhammad Zaheer, Adam White, Andrew Patterson, Martha White |
| 2018 | UAI | Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return. | Craig Sherstan, Dylan R. Ashley, Brendan Bennett, Kenny Young, Adam White, Martha White, Richard S. Sutton |
| 2017 | AAAI | Accelerated Gradient Temporal Difference Learning. | Yangchen Pan, Adam White, Martha White |
| 2012 | SMC | Acquiring a broad range of empirical knowledge in real time by temporal-difference learning. | Joseph Modayil, Adam White, Patrick M. Pilarski, Richard S. Sutton |