https://github.com/opendilab/ace
공식 코드ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency
Papers with Code 아카이브
SMAC+
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Bechmarks for Efficient Exploration of Completion of Multi-stage Tasks and Usage of Environmental Factors
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/osilab-kaist/smac_exp
공식 코드https://github.com/oxwhirl/pymarl
공식 코드QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
https://github.com/oxwhirl/smac
공식 코드https://github.com/oxwhirl/smacv2
공식 코드SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
https://github.com/puyuan1996/MARL
공식 코드Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning
https://github.com/reinholdm/offline-pre-trained-multi-agent-decision-transformer
공식 코드Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks
https://github.com/sisl/DICG
공식 코드Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning
https://github.com/uoe-agents/smaclite
공식 코드SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning
https://github.com/vcis-wangchenxu/mrdg
공식 코드https://github.com/zdhnarsil/stochastic-marginal-actor-critic
공식 코드Latent State Marginalization as a Low-cost Approach for Improving Exploration
https://github.com/zhang-shaowei/smmae
공식 코드https://github.com/zzq-bot/romance
공식 코드Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers
https://github.com/15534081591/QMIX
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
https://github.com/16444take/aope-sim
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?
https://github.com/2023-MindSpore-1/ms-code-221/tree/main/qmix
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
https://github.com/Abdelhamid-bouzid/Multi-Agent-Deep-Deterministic-Policy-Gradient
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/Acciorocketships/pymarl2
Rethinking the Implementation Matters in Cooperative Multi-Agent Reinforcement Learning
https://github.com/Ah31/maddpg_pytorch
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/AleXander-Tsui/MPE
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/Chan1998/MAAC
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/Denys88/rl_games
https://github.com/EyaRhouma/collaboration-competition-MADDPG
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/JinTanda/MADDPG_env
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/JohannesAck/MATD3implementation
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/JohannesAck/tf2multiagentrl
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/LXYYY/multiagent-particle-envs
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/Louiii/ValueDecomposition
Value-Decomposition Networks For Cooperative Multi-Agent Learning
https://github.com/MLStruckmann/mutation-misery
On the Performance of Differential Evolution for Hyperparameter Tuning
https://github.com/MrDaubinet/collaboration-and-competition
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/NeuroCSUT/intentions
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/RL-WFU/multi_agent_attack
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/SihongHo/multiagent-particle-envs
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/SintolRTOS/multi-agent_Example
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/Steven-Ho/multiagent-particle-envs
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/Stippler/cow-simulator
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.