A library based on Keras, SMAC and HpBandSter to auto tune autoencoder architectures.
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Updated
Feb 27, 2021 - Python
A library based on Keras, SMAC and HpBandSter to auto tune autoencoder architectures.
[JMLR 2023] A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
Continual Multi-agent Reinforcement Learning in Dynamic Environments
Bayesian Optimization for Categorical and Continuous Inputs
[ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)
StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX
[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
This is the official implementation of Multi-Agent PPO (MAPPO).
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Automated Machine Learning with scikit-learn
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