39 citations · 46 across the 3 of their papers we have counts for
5 papers
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas +19
Reinforcement learning competitions advance the field by providing appropriate scope and support to develop solutions toward a specific problem. To promote the development of more…
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…
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…
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…
Adversarial Generation of Handwritten Text Images Conditioned on Sequences
Eloi Alonso, Bastien Moysset, Ronaldo Messina
State-of-the-art offline handwriting text recognition systems tend to use neural networks and therefore require a large amount of annotated data to be trained. In order to partiall…