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Santiago Onta\~n\'on — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Santiago Onta\~n\'on
7
papers ·
489
citations
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Semantic Scholar ↗
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Most-cited papers
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
2020 · 480 citations
Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games
2020 · 5 citations
Gym-$μ$RTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning
2021 · 2 citations
Comparing Observation and Action Representations for Deep Reinforcement Learning in $μ$RTS
2019
A2C is a special case of PPO
2022
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform
2023
Top co-authors
Shengyi Huang
· 4
Shengyi Huang
· 2
Anssi Kanervisto
· 1
Antonin Raffin
· 1
Chris Bamford
· 1
Jiayi Weng
· 1
Lukasz Grela
· 1
Min Lin
· 1
Rousslan Fernand Julien Dossa
· 1
Rujikorn Charakorn
· 1
Weixun Wang
· 1
Zhongwen Xu
· 1
Topics
Game AI
Policy Gradient
Multi-Agent
Safe RL
Exploration
Value-Based