Adaptive consistency replication with reinforcement learning for large scale globally distributed storage.
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Updated
Jun 23, 2024 - Go
Adaptive consistency replication with reinforcement learning for large scale globally distributed storage.
A multi-armed bandit (MAB) simulation library in Python
An easy-to-use reinforcement learning library for research and education.
Focuses on Reinforcement Learning related concepts, use cases, and learning approaches
Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation
The source code to Cross-Validated Off-Policy Evaluation
Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling and epsilon-greedy.
IEEE 802.11bn Multi-AP Coordinated Spatial Reuse with Hierarchical Multi-Armed Bandits
Repository tugas akhir tentang Multi-Armed Bandit
Non-stationary multi-armed bandit under a causal perspective
RLOP: A Framework for Reinforcement Learning, Optimization and Planning Algorithms
A Pythonic microframework for multi-armed bandit problems
Multi-Armed Bandit method of accurately estimating the largest parameter out of a set of candidates.
[AAAI 2024] Mab2Rec: Multi-Armed Bandits Recommender
Software for the experiments reported in the RecSys 2019 paper "A Simple Multi-Armed Nearest-Neighbor Bandit for Interactive Recommendation"
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library
Implementation of several multi-armed bandit problems.
Several multi-armed bandit strategies with additional holding option for smoother exploration.
🐯REPLICA of "Combinatorial Multi-Armed Bandit Based Unknown Worker Recruitment in Heterogeneous Crowdsensing"
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