Ray-cast sensor-based imitation learning produces compute-efficient, human-like bots for a tactical shooter, with a 14.9M-parameter model running at 9.59 ms per decision on CPU.
A general reinforcement learning algorithm that masters chess, shogi, and go through self-play,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.HC 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors
Ray-cast sensor-based imitation learning produces compute-efficient, human-like bots for a tactical shooter, with a 14.9M-parameter model running at 9.59 ms per decision on CPU.