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Stephen McAleer — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Stephen McAleer
18
papers ·
289
citations ·
17
h-index
Carnegie Mellon University
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Semantic Scholar ↗
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Most-cited papers
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
2022 · 150 citations
Language Models can Solve Computer Tasks
2023 · 68 citations
Solving the Rubik's Cube Without Human Knowledge
2018 · 18 citations
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination
2019 · 14 citations
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
2019 · 11 citations
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
2020 · 10 citations
XDO: A Double Oracle Algorithm for Extensive-Form Games
2021 · 5 citations
Independent Natural Policy Gradient Always Converges in Markov Potential Games
2021 · 4 citations
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
2022 · 4 citations
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
2023 · 2 citations
ColosseumRL: A Framework for Multiagent Reinforcement Learning in $N$-Player Games
2019 · 1 citations
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games
2022 · 1 citations
Confronting Reward Model Overoptimization with Constrained RLHF
2023 · 1 citations
Neural Auto-Curricula
2021
Anytime PSRO for Two-Player Zero-Sum Games
2022
Top co-authors
Pierre Baldi
· 8
Roy Fox
· 4
John Lanier
· 3
Marc Lanctot
· 3
Roy Fox
· 3
Tuomas Sandholm
· 3
Alexander Shmakov
· 2
David Mguni
· 2
JB Lanier
· 2
Karl Tuyls
· 2
Kevin Wang
· 2
Oliver Slumbers
· 2
Topics
Game AI
Multi-Agent
Meta-RL
Safe RL
Value-Based
Exploration
Model-Based RL
Policy Gradient
RLHF & Alignment