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09/01/2022
Transformers are Sample Efficient World Models
Deep reinforcement learning agents are notoriously sample inefficient, w...
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02/17/2022
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
Reinforcement learning competitions advance the field by providing appro...
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12/10/2020
Reinforcement Learning Agents for Ubisoft's Roller Champions
In recent years, Reinforcement Learning (RL) has seen increasing popular...
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11/09/2020
Deep Reinforcement Learning for Navigation in AAA Video Games
In video games, non-player characters (NPCs) are used to enhance the pla...
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12/23/2019
Discrete and Continuous Action Representation for Practical RL in Video Games
While most current research in Reinforcement Learning (RL) focuses on im...
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03/01/2019