Scott Fujimoto
13 papers · 2018–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Cross-Pollinator (8) π Conference Polyglot (4) π Academic Marathon (7) π Renaissance Researcher (6)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(25)
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Conference Polyglot
(4)
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Topic Evolution
π
Century Club
(12)
β
The Questioner
ποΈ
Keyword Collector
(58)
π₯
Unstoppable
(6)
Conferences
ICML (5)
NIPS (4)
ICLR (2)
EACL (1)
NAACL (1)
Top co-authors
Keywords
value function
(3)
deep reinforcement learning
(3)
offline reinforcement learning
(2)
3d object reconstruction
(2)
continuous control
(2)
off-policy evaluation
(1)
reinforcement learning
(1)
policy gradient
(1)
multi-task learning
(1)
embedding learning
(1)
depth estimation
(1)
behavior cloning
(1)
text classification
(1)
batch learning
(1)
density ratio estimation
(1)
sentiment analysis
(1)
value function approximation
(1)
off-policy learning
(1)
off-policy reinforcement learning
(1)
temporal difference learning
(1)
Papers
Imbalanced Gradients in RL Post-Training of Multi-Task LLMs
EACL 2026
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank
ICLR 2025
Towards General-Purpose Model-Free Reinforcement Learning
ICLR 2025
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
NIPS 2023
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error
ICML 2022
A Minimalist Approach to Offline Reinforcement Learning
NIPS 2021
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
ICML 2021
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
NIPS 2020
Off-Policy Deep Reinforcement Learning without Exploration
ICML 2019
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
ICML 2019
Addressing Function Approximation Error in Actor-Critic Methods
ICML 2018
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
NIPS 2018
Sentiment Analysis: Itβs Complicated!
NAACL 2018