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researcher

Maxim Peter

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG3

identity via Semantic Scholar / OpenAlex

most citedDiscrete and Continuous Action Representation for Practical RL in Video Games

39 citations · 40 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2020★ 1 cited

Reinforcement Learning Agents for Ubisoft's Roller Champions

Nancy Iskander, Aurelien Simoni, Eloi Alonso +1

In recent years, Reinforcement Learning (RL) has seen increasing popularity in research and popular culture. However, skepticism still surrounds the practicality of RL in modern vi…

cs.LG2020

Deep Reinforcement Learning for Navigation in AAA Video Games

Eloi Alonso, Maxim Peter, David Goumard +1

In video games, non-player characters (NPCs) are used to enhance the players' experience in a variety of ways, e.g., as enemies, allies, or innocent bystanders. A crucial component…

cs.LG2019★ 39 cited

Discrete and Continuous Action Representation for Practical RL in Video Games

Olivier Delalleau, Maxim Peter, Eloi Alonso +1

While most current research in Reinforcement Learning (RL) focuses on improving the performance of the algorithms in controlled environments, the use of RL under constraints like t…

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