Game of Doom
5 papers with code • 1 benchmarks • 1 datasets
Doom is an FPS game : the task is typically to train an agent to navigate the game environment, and additionally, acquire points by eliminating enemies.
( Image credit: Playing FPS Games with Deep Reinforcement Learning )
Latest papers with no code
Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks
In this paper we propose a divide and conquer deep reinforcement learning solution and we test our agent in the first person shooter (FPS) game of Doom.