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Tim Salimans — most-cited papers & profile · Reinforcement Learning
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Tim Salimans
33
papers ·
5256
citations ·
31
h-index
Amsterdam University of Applied Sciences
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Dota 2 with Large Scale Deep Reinforcement Learning
2019 · 1047 citations
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
2017 · 1026 citations
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
2016 · 931 citations
Learning Montezuma's Revenge from a Single Demonstration
2018 · 84 citations
Agent-Centric Representations for Multi-Agent Reinforcement Learning
2021 · 7 citations
Top co-authors
Anton Raichuk
· 1
Brooke Chan
· 1
Catherine Olsson
· 1
Chris Hesse
· 1
Christy Dennison
· 1
David Farhi
· 1
Diederik P. Kingma
· 1
Filip Wolski
· 1
Greg Brockman
· 1
Henrique P. d.O. Pinto
· 1
Ilya Sutskever
· 1
Ilya Sutskever
· 1
Topics
Game AI
Exploration
Value-Based
Multi-Agent
cond-mat.dis-nn
cs.NA
math.NA
Policy Gradient