Scott Fujimoto
13 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (26) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🧬
Topic Evolution
🧭
Keyword Pioneer
🗃️
Keyword Collector
(67)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(9)
Reinforcement Learning
(9)
Methods
(9)
Learning Types · Machine Learning
(4)
Optimization & Theory
(4)
Deep Learning
(3)
Core Methods
(3)
Artificial Intelligence
(2)
Learning Types · Deep Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
Applications
(1)
Architectures
(1)
Core AI
(1)
Keywords
value function
(4)
deep reinforcement learning
(4)
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)
model-based reinforcement learning
(1)
density ratio estimation
(1)
sentiment analysis
(1)
batch learning
(1)
value function approximation
(1)
distribution shift
(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
NeurIPS 2023
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error
ICML 2022
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
ICML 2021
A Minimalist Approach to Offline Reinforcement Learning
NeurIPS 2021
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
NeurIPS 2020
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
ICML 2019
Off-Policy Deep Reinforcement Learning without Exploration
ICML 2019
Addressing Function Approximation Error in Actor-Critic Methods
ICML 2018
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
NeurIPS 2018
Sentiment Analysis: It’s Complicated!
NAACL 2018