Papers with Code 아카이브
Dota 2
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
Dota 2 is a multiplayer online battle arena (MOBA). The task is to train one-or-more agents to play and win the game.
<span style="color:grey; opacity: 0.6">( Image credit: OpenAI Five )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/silvialuu/DRL-2018
https://github.com/sirakik/mprg_fc
https://github.com/sirakik/ppo_football
https://github.com/synthlabsai/big-math
https://github.com/taku-y/20181125-pybullet
https://github.com/takuseno/ppo
https://github.com/tatsu-lab/linguistic_calibration
https://github.com/tcmxx/CNTKUnityTools
https://github.com/tensorlayer/RLzoo
https://github.com/theresearchai/vehicle_routing_rl_2
https://github.com/tidedra/vl-rlhf
https://github.com/tilkb/thermoai
https://github.com/tmjeong1103/RL_with_RAY
https://github.com/tobiasemrich/SchafkopfRL
https://github.com/tommyvsfu1/RL-NTU
https://github.com/toni-sm/skrl
https://github.com/tuanpnm99/RLPongAgent
https://github.com/uvipen/super-mario-bros-ppo-pytorch
https://github.com/vcadillog/PPO-Mario-Bros-Tensorflow-2
https://github.com/vermashresth/damage-aware-PPO
https://github.com/vheuthe/microbot_rl
https://github.com/wangshub/RL-Stock
https://github.com/wangzhengfei0730/NIPS2018-AIforProsthetics
https://github.com/xiawenwen49/ppo
https://github.com/xiuyu0000/new_papers_codes/tree/main/ppo
https://github.com/xtma/simple-pytorch-rl
https://github.com/yang1fan2/Dota2-Prediction
https://github.com/yoavalon/Quadcopter-env
https://github.com/yoavalon/QuadcopterReinforcementLearning
https://github.com/zjlab-ammi/llm4rl
https://github.com/zsz-hst/RL_single_chase_point
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.