Roy Fox
15 papers · 2013–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🧭 Keyword Pioneer 🌍 Conference Polyglot (7)
🐣
Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(7)
🧬
Topic Evolution
🗃️
Keyword Collector
(65)
📈
Trend Setter
💎
Century Club
(15)
🔥
Unstoppable
(6)
🚀
Conference Pioneer
Conferences
ICML (5)
NIPS (3)
CORL (2)
ICLR (2)
AISTATS (1)
L4DC (1)
NAACL (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(5)
multi-agent system
(2)
nash equilibrium
(2)
imitation learning
(2)
game theory
(2)
sample efficiency
(2)
brain-computer interface
(1)
supervised learning
(1)
neural decoding
(1)
natural policy gradient
(1)
skill discovery
(1)
distributed computing
(1)
neural encoding
(1)
robot learning
(1)
covariate shift
(1)
feature selection
(1)
behavior cloning
(1)
robot control
(1)
hierarchical planning
(1)
motion planning
(1)
Papers
Realizable Continuous-Space Shields for Safe Reinforcement Learning
L4DC 2025
Selective Perception: Learning Concise State Descriptions for Language Model Actors
NAACL 2024
Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games
ICLR 2024
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills
ICML 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
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
ICML 2022
Independent Natural Policy Gradient always converges in Markov Potential Games
AISTATS 2022
XDO: A Double Oracle Algorithm for Extensive-Form Games
NIPS 2021
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
NIPS 2020
RLlib: Abstractions for Distributed Reinforcement Learning
ICML 2018
Parametrized Hierarchical Procedures for Neural Programming
ICLR 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
NIPS 2013