Game of Doom
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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.
<span style="color:grey; opacity: 0.6">( Image credit: Playing FPS Games with Deep Reinforcement Learning )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/glample/Arnold
공식 코드https://github.com/mwydmuch/ViZDoom
공식 코드ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
https://github.com/KyleChen400/patch_dqn
https://github.com/NervanaSystems/coach
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
https://github.com/RENHANFEI/patch_sup
https://github.com/RENHANFEI/vizdoom_health_gathering
https://github.com/RENHANFEI/vizdoom_patch_dqn
https://github.com/RENHANFEI/vizdoom_patch_supreme
https://github.com/apollopower/DOOM-AI
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
https://github.com/chengyu2/vizdoom_rl_community_canberra
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
https://github.com/devendrachaplot/Neural-Localization
https://github.com/farama-foundation/vizdoom
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
https://github.com/hegde95/Agents_that_Listen
Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems
https://github.com/hegde95/ViZDoom_with_Sound
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
https://github.com/icmlanon58443043/vizdoom
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
https://github.com/icmlanon58443043/vizdoomicmlanon
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
https://github.com/jeffchy/Artificial-Idiot
https://github.com/nolanwinsman/Team-Doom
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
https://github.com/sagpant/ViZDoom
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.