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Yoram Bachrach — most-cited papers & profile · Reinforcement Learning
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Yoram Bachrach
7
papers ·
73
citations ·
0
h-index
Google Scholar ↗
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Most-cited papers
Negotiating Team Formation Using Deep Reinforcement Learning
2020 · 37 citations
Biases for Emergent Communication in Multi-agent Reinforcement Learning
2019 · 29 citations
Batch Policy Gradient Methods for Improving Neural Conversation Models
2017 · 7 citations
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
2023
Top co-authors
Angeliki Lazaridou
· 2
Marc Lanctot
· 2
Thore Graepel
· 2
Daniel Hennes
· 1
Daniel Tarlow
· 1
David Carter
· 1
Edward Hughes
· 1
Guy Lever
· 1
Ian Gemp
· 1
Joel Z. Leibo
· 1
Kate Larson
· 1
Kevin R. McKee
· 1
Topics
Multi-Agent
Game AI
Policy Gradient
Offline RL
Exploration
Safe RL
Model-Based RL