Projects in Awesome Lists tagged with smac
A curated list of projects in awesome lists tagged with smac .
https://github.com/automl/auto-sklearn
Automated Machine Learning with scikit-learn
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac
Last synced: 12 May 2025
https://automl.github.io/auto-sklearn/
Automated Machine Learning with scikit-learn
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac
Last synced: 23 Feb 2025
https://github.com/opendilab/di-engine
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
atari distributed-reinforcement-learning distributed-system drl exploration-exploitation imitation-learning impala inverse-reinforcement-learning minigrid model-based-reinforcement-learning mujoco multiagent-reinforcement-learning offline-rl python pytorch-rl r2d2 reinforcement-learning reinforcement-learning-algorithms self-play smac
Last synced: 12 May 2025
https://github.com/opendilab/DI-engine
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
atari distributed-reinforcement-learning distributed-system drl exploration-exploitation imitation-learning impala inverse-reinforcement-learning minigrid model-based-reinforcement-learning mujoco multiagent-reinforcement-learning offline-rl python pytorch-rl r2d2 reinforcement-learning reinforcement-learning-algorithms self-play smac
Last synced: 01 Apr 2025
https://github.com/marlbenchmark/on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
algorithms hanabi mappo mpes multi-agent ppo smac starcraftii
Last synced: 15 May 2025
https://github.com/hijkzzz/pymarl2
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
marl reinforcement-learning smac sota starcraft
Last synced: 13 Apr 2025
https://github.com/afwbkbc/glsmac
Unofficial open-source OpenGL/SDL2 reimplementation of Sid Meier's Alpha Centauri ( + Alien Crossfire )
4x 4x-strategy-game c-plus-plus civ civilization cross-platform freebsd game game-development gamedev linux multiplayer opengl sid-meier-alpha-centauri sid-meier-civilization smac strategy strategy-game turn-based-strategy windows
Last synced: 01 Apr 2025
https://github.com/opendilab/ace
[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".
gfootball multi-agent multi-agent-reinforcement-learning reinforcement-learning smac
Last synced: 22 Apr 2025
https://github.com/j3soon/dfac
[ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
dfac icml-2021 multi-agent-reinforcement-learning reinforcement-learning smac starcraft2
Last synced: 10 Apr 2025
https://github.com/hijkzzz/noisy-mappo
Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)
mappo multi-agent-reinforcement-learning smac sota
Last synced: 01 May 2025
https://github.com/j3soon/dfac-extended
[JMLR 2023] A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
dfac jmlr-2023 multi-agent-reinforcement-learning reinforcement-learning smac starcraft2
Last synced: 09 Apr 2025
https://github.com/laraib-azmat/smac-protocol
Wireless Sensor SMAC Medium Access Protocol Implemented in Matlab. Complete energy efficient and collision avoidance protocol.
medium-access-control smac wireless-protocol
Last synced: 26 Mar 2025
https://github.com/legalaspro/marl-ppo-suite
Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO with various normalization techniques.
mappo multiagent-learning multiagent-reinforcement-learning multiagents pytorch reinforcement-learning-algorithms rnn-gru rnn-pytorch smac starcraft2
Last synced: 10 Apr 2025
https://github.com/xujiuqing2023/marl-ppo-suite
Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO with various normalization techniques.
mappo multiagent-learning multiagent-reinforcement-learning multiagents pytorch reinforcement-learning-algorithms rnn-gru rnn-pytorch smac starcraft2
Last synced: 13 Apr 2025
