Scott Fujimoto

According to our database, Scott Fujimoto authored at least 22 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Imbalanced Gradients in RL Post-Training of Multi-Task LLMs.

Runzhe Wu, Ankur Samanta, Ayush Jain, Scott Fujimoto, Jeongyeol Kwon, Ben Kretzu, Youliang Yu, Kaveh Hassani, Boris Vidolov, Yonathan Efroni

CoRR, October, 2025

Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents.

Johan S. Obando-Ceron, Walter Mayor, Samuel Lavoie, Scott Fujimoto, Aaron C. Courville, Pablo Samuel Castro

CoRR, October, 2025

Scalable Option Learning in High-Throughput Environments.

Mikael Henaff, Scott Fujimoto, Michael Matthews, Michael Rabbat

CoRR, September, 2025

Sparse-Reg: Improving Sample Complexity in Offline Reinforcement Learning using Sparsity.

Samin Yeasar Arnob, Scott Fujimoto, Doina Precup

CoRR, June, 2025

Generalizable Imitation Learning Through Pre-Trained Representations.

Wei-Di Chang, François Robert Hogan, Scott Fujimoto, David Meger, Gregory Dudek

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank.

Wenhao Zhan, Scott Fujimoto, Zheqing Zhu, Jason D. Lee, Daniel Jiang, Yonathan Efroni

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards General-Purpose Model-Free Reinforcement Learning.

Scott Fujimoto, Pierluca D'Oro, Amy Zhang, Yuandong Tian, Michael Rabbat

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Fairness in Reinforcement Learning with Bisimulation Metrics.

Sahand Rezaei-Shoshtari, Hanna Yurchyk, Scott Fujimoto, Doina Precup, David Meger

CoRR, 2024

Imitation Learning from Observation through Optimal Transport.

Wei-Di Chang, Scott Fujimoto, David Meger, Gregory Dudek

RLJ, 2024

2023

For SALE: State-Action Representation Learning for Deep Reinforcement Learning.

Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Gu, Doina Precup, David Meger

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

IL-flOw: Imitation Learning from Observation using Normalizing Flows.

Wei-Di Chang, Juan Camilo Gamboa Higuera, Scott Fujimoto, David Meger, Gregory Dudek

CoRR, 2022

Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error.

Scott Fujimoto, David Meger, Doina Precup, Ofir Nachum, Shixiang Shane Gu

Proceedings of the International Conference on Machine Learning, 2022

2021

A Minimalist Approach to Offline Reinforcement Learning.

Scott Fujimoto, Shixiang Shane Gu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation.

Scott Fujimoto, David Meger, Doina Precup

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay.

Scott Fujimoto, David Meger, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Benchmarking Batch Deep Reinforcement Learning Algorithms.

Scott Fujimoto, Edoardo Conti, Mohammad Ghavamzadeh, Joelle Pineau

CoRR, 2019

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects.

Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger

Proceedings of the 36th International Conference on Machine Learning, 2019

Off-Policy Deep Reinforcement Learning without Exploration.

Scott Fujimoto, David Meger, Doina Precup

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

3D Object Super-Resolution.

Edward J. Smith, Scott Fujimoto, David Meger

CoRR, 2018

Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation.

Edward J. Smith, Scott Fujimoto, David Meger

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Sentiment Analysis: It's Complicated!

Kian Kenyon-Dean, Eisha Ahmed, Scott Fujimoto, Jeremy Georges-Filteau, Christopher Glasz, Barleen Kaur, Auguste Lalande, Shruti Bhanderi, Robert Belfer, Nirmal Kanagasabai, Roman Sarrazingendron, Rohit Verma, Derek Ruths

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Addressing Function Approximation Error in Actor-Critic Methods.

Scott Fujimoto, Herke van Hoof, David Meger

Proceedings of the 35th International Conference on Machine Learning, 2018