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Richard Everett — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Richard Everett
6
papers ·
69
citations ·
27
h-index
Google DeepMind (United Kingdom) · Google (United Kingdom)
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Negotiating Team Formation Using Deep Reinforcement Learning
2020 · 37 citations
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
2020 · 18 citations
Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences
2020 · 11 citations
Collaborating with Humans without Human Data
2021 · 3 citations
Modelling Cooperation in Network Games with Spatio-Temporal Complexity
2021
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning
2021
Top co-authors
Edward Hughes
· 4
Joel Z. Leibo
· 4
Kevin R. McKee
· 3
Thore Graepel
· 3
Laura Weidinger
· 2
Marc Lanctot
· 2
Andrea Tacchetti
· 1
and Yoram Bachrach
· 1
Angeliki Lazaridou
· 1
Dj Strouse
· 1
Edgar A. Duéñez‐Guzmán
· 1
Ian Gemp
· 1
Topics
Multi-Agent
Game AI
Safe RL
Policy Gradient
Model-Based RL
Exploration