Adam White

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 32

Top Topics

Reinforcement Learning

Top Venues

Publications

Scott M. Jordan, Adam White, Bruno Castro da Silva, Martha White, Philip S. Thomas
Position: Benchmarking is Limited in Reinforcement Learning Research. CoRR (2024)
Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White
Investigating the properties of neural network representations in reinforcement learning. Artif. Intell. 330 (2024)
Parham Mohammad Panahi, Andrew Patterson, Martha White, Adam White
Investigating the Interplay of Prioritized Replay and Generalization. CoRR (2024)
Muhammad Kamran Janjua, Haseeb Shah, Martha White, Erfan Miahi, Marlos C. Machado, Adam White
GVFs in the real world: making predictions online for water treatment. Mach. Learn. 113 (8) (2024)
Andrew Patterson, Samuel Neumann, Raksha Kumaraswamy, Martha White, Adam White
The Cross-environment Hyperparameter Setting Benchmark for Reinforcement Learning. CoRR (2024)
Golnaz Mesbahi, Olya Mastikhina, Parham Mohammad Panahi, Martha White, Adam White
Tuning for the Unknown: Revisiting Evaluation Strategies for Lifelong RL. CoRR (2024)
Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White
Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint). AAAI (2024)
Kevin Roice, Parham Mohammad Panahi, Scott M. Jordan, Adam White, Martha White
A New View on Planning in Online Reinforcement Learning. CoRR (2024)
Subhojeet Pramanik, Esraa Elelimy, Marlos C. Machado, Adam White
Recurrent Linear Transformers. CoRR (2023)
Zaheer Abbas, Rosie Zhao, Joseph Modayil, Adam White, Marlos C. Machado
Loss of Plasticity in Continual Deep Reinforcement Learning. CoRR (2023)
Banafsheh Rafiee, Zaheer Abbas, Sina Ghiassian, Raksha Kumaraswamy, Richard S. Sutton, Elliot A. Ludvig, Adam White
From eye-blinks to state construction: Diagnostic benchmarks for online representation learning. Adapt. Behav. 31 (1) (2023)
Samuel Neumann, Sungsu Lim, Ajin George Joseph, Yangchen Pan, Adam White, Martha White
Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement. ICLR (2023)
Eugene You Chen Chen, Adam White, Nathan R. Sturtevant
Entropy as a Measure of Puzzle Difficulty. AIIDE (2023)
Banafsheh Rafiee, Sina Ghiassian, Jun Jin, Richard S. Sutton, Jun Luo, Adam White
Auxiliary task discovery through generate-and-test. CoLLAs (2023)
Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White
Measuring and Mitigating Interference in Reinforcement Learning. CoLLAs (2023)
Chenjun Xiao, Han Wang, Yangchen Pan, Adam White, Martha White
The In-Sample Softmax for Offline Reinforcement Learning. ICLR (2023)
Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White
Reward-respecting subtasks for model-based reinforcement learning. Artif. Intell. 324 (2023)
Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White
Measuring and Mitigating Interference in Reinforcement Learning. CoRR (2023)
Zaheer Abbas, Rosie Zhao, Joseph Modayil, Adam White, Marlos C. Machado
Loss of Plasticity in Continual Deep Reinforcement Learning. CoLLAs (2023)
Edan Meyer, Adam White, Marlos C. Machado
Harnessing Discrete Representations For Continual Reinforcement Learning. CoRR (2023)
Ruo Yu Tao, Adam White, Marlos C. Machado
Agent-State Construction with Auxiliary Inputs. Trans. Mach. Learn. Res. 2023 (2023)
Chenjun Xiao, Han Wang, Yangchen Pan, Adam White, Martha White
The In-Sample Softmax for Offline Reinforcement Learning. CoRR (2023)
Patrick M. Pilarski, Andrew Butcher, Elnaz Davoodi, Michael Bradley Johanson, Dylan J. A. Brenneis, Adam S. R. Parker, Leslie Acker, Matthew M. Botvinick, Joseph Modayil, Adam White
The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents. CoRR (2022)
Banafsheh Rafiee, Sina Ghiassian, Jun Jin, Richard S. Sutton, Jun Luo, Adam White
Auxiliary task discovery through generate-and-test. CoRR (2022)
Han Wang, Archit Sakhadeo, Adam White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. CoRR (2022)
Banafsheh Rafiee, Jun Jin, Jun Luo, Adam White
What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy. CoRR (2022)
Andrew Patterson, Adam White, Martha White
A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning. J. Mach. Learn. Res. 23 (2022)
Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White
Investigating the Properties of Neural Network Representations in Reinforcement Learning. CoRR (2022)
Chunlok Lo, Gabor Mihucz, Adam White, Farzane Aminmansour, Martha White
Goal-Space Planning with Subgoal Models. CoRR (2022)
Ruo Yu Tao, Adam White, Marlos C. Machado
Agent-State Construction with Auxiliary Inputs. CoRR (2022)
Ray Jiang, Shangtong Zhang, Veronica Chelu, Adam White, Hado van Hasselt
Learning Expected Emphatic Traces for Deep RL. AAAI (2022)
Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
Continual Auxiliary Task Learning. NeurIPS (2021)