Roy Fox
17 papers · 2013–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Diamond π£ Hot Topic Early Bird
π§¬
Topic Evolution
ποΈ
Keyword Collector
(95)
π
Trend Setter
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Reinforcement Learning
(13)
Artificial Intelligence
(12)
Core AI
(12)
Machine Learning
(11)
Methods
(10)
Learning Types Β· Machine Learning
(7)
Applications
(6)
Robotics
(3)
Deep Learning
(2)
Application Areas
(2)
Capabilities
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Keywords
reinforcement learning
(5)
nash equilibrium
(3)
imitation learning
(3)
game theory
(2)
world model
(2)
double oracle
(2)
sample efficiency
(2)
multi-agent system
(2)
supervised learning
(1)
neural encoding
(1)
temporal difference learning
(1)
natural policy gradient
(1)
neural decoding
(1)
distributed computing
(1)
feature selection
(1)
covariate shift
(1)
hierarchical planning
(1)
behavior cloning
(1)
robot learning
(1)
brain-computer interface
(1)
Papers
Adapting World Models with Latent-State Dynamics Residuals
L4DC 2026
Model-Based Reinforcement Learning under Random Observation Delays
L4DC 2026
Realizable Continuous-Space Shields for Safe Reinforcement Learning
L4DC 2025
Selective Perception: Learning Concise State Descriptions for Language Model Actors
NAACL 2024
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills
ICML 2024
Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games
ICLR 2024
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling
ICML 2023
Learning to Design Analog Circuits to Meet Threshold Specifications
ICML 2023
Independent Natural Policy Gradient always converges in Markov Potential Games
AISTATS 2022
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
ICML 2022
XDO: A Double Oracle Algorithm for Extensive-Form Games
NeurIPS 2021
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
NeurIPS 2020
Parametrized Hierarchical Procedures for Neural Programming
ICLR 2018
RLlib: Abstractions for Distributed Reinforcement Learning
ICML 2018
DART: Noise Injection for Robust Imitation Learning
CoRL 2017
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
CoRL 2017
A multi-agent control framework for co-adaptation in brain-computer interfaces
NeurIPS 2013