Stephen Mcaleer
14 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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Century Club Β· Bronze
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Venues
Top co-authors
Research topics
Artificial Intelligence
(10)
Core AI
(10)
Reinforcement Learning
(8)
Applications
(6)
Methods
(5)
Machine Learning
(4)
Learning Types Β· Machine Learning
(4)
Deep Learning
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Learning Types Β· Deep Learning
(1)
Optimization
(1)
Optimization & Theory
(1)
Keywords
game theory
(7)
nash equilibrium
(4)
reinforcement learning
(4)
mechanism design
(3)
multi-agent reinforcement learning
(3)
deep reinforcement learning
(2)
extensive-form game
(2)
double oracle
(2)
policy optimization
(2)
multi-agent learning
(1)
markov decision process
(1)
reinforcement learning from human feedback
(1)
offline reinforcement learning
(1)
prompt engineering
(1)
bilevel optimization
(1)
value estimation
(1)
approximate policy iteration
(1)
zero-sum game
(1)
puzzle solving
(1)
temporal difference learning
(1)
Papers
Automated Design of Affine Maximizer Mechanisms in Dynamic Settings
AAAI 2024
Policy Space Response Oracles: A Survey
IJCAI 2024
Scalable Mechanism Design for Multi-Agent Path Finding
IJCAI 2024
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games
NeurIPS 2023
Language Models can Solve Computer Tasks
NeurIPS 2023
Policy Space Diversity for Non-Transitive Games
NeurIPS 2023
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning
NeurIPS 2023
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
ICML 2022
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
NeurIPS 2022
Neural Auto-Curricula in Two-Player Zero-Sum Games
NeurIPS 2021
XDO: A Double Oracle Algorithm for Extensive-Form Games
NeurIPS 2021
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination
ICML 2020
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
NeurIPS 2020
Solving the Rubik's Cube with Approximate Policy Iteration
ICLR 2019