Yahoo! news article recommendation system by linUCB
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Feb 1, 2018 - Python
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contextual-bandit
Here are 18 public repositories matching this topic...
🎓 Adaptive AI study agent with POMDP belief state — OPEAA loop, Q-learning + LinUCB bandit policies, SM-2 spaced repetition, concept DAG. Streamlit web app + Chrome extension (MV3). Claude & free HF backends.
chrome-extension reinforcement-learning q-learning spaced-repetition pomdp contextual-bandit huggingface streamlit agent-framework study-tool ai-agent claude-api
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Apr 28, 2026 - JavaScript
Bandit algorithms
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Oct 12, 2017 - Python
A gymnasium-compatible framework to create reinforcement learning (RL) environment for solving the optimal power flow (OPF) problem. Contains five OPF benchmark environments for comparable research.
benchmark environment reinforcement-learning supervised-learning rl optimal-power-flow energy-system gymnasium opf pandapower contextual-bandit reward-design reward-shaping power-system environment-design action-shaping
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Mar 22, 2025 - Python
Implementation of the Adaptive Contextual Combinatorial Upper Confidence Bound (ACC-UCB) algorithm for the contextual combinatorial volatile multi-armed bandit setting.
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Feb 24, 2020 - Python
Deterministic decision-intelligence MCP server for AI agents — 17 tools, 21 algorithms (LinUCB, HiGHS LP/MIP, PageRank, Monte Carlo, CMA-ES, conformal). Sub-25ms. Zero LLM cost. Listed on the MCP Registry, Glama & Smithery.
api machine-learning typescript algorithms optimization mcp monte-carlo linear-programming pagerank bandits fastify ai-agents contextual-bandit decision-intelligence anthropic llm-tools agent-tools model-context-protocol claude-mcp deterministic-tools
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Jun 3, 2026 - TypeScript
Code for our AJCAI 2020 paper: "Online Semi-Supervised Learning in Contextual Bandits with Episodic Reward".
reinforcement-learning paper semi-supervised-learning bandits bandit contextual-bandits contextual-bandit self-supervised-learning nonstationary-environments
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Sep 21, 2020 - MATLAB
An illustrative project including some multi-armed bandit algorithms and contextual bandit algorithms
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Feb 3, 2021 - Python
Contextual bandit implementation using Keras
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Apr 30, 2018 - Python
Adaptive AI companion that builds a model of each user from implicit interaction signals — keystroke dynamics, linguistic complexity, temporal patterns — and continuously adapts its responses. Custom TCN + transformer + contextual bandit, built from scratch in PyTorch.
python machine-learning deep-learning websocket poetry pytorch personalization transformer thompson-sampling language-model user-modeling from-scratch huawei contextual-bandit privacy-by-design adaptive-systems human-machine-interaction fastapi edge-ai temporal-convolutional-network
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Apr 29, 2026 - Python
Block-level adaptive compression using LinUCB contextual bandit routing. Outperforms LZ4 by 20.4%, LZMA by 9.9%.
python compression research reproducible-research information-theory data-compression online-learning contextual-bandit linucb regret-minimization lossless-compression block-compression adaptive-compression codec-selection
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May 1, 2026 - Python
Self-Healing ML Pipeline: autonomous fault detection, RCA, and recovery with a LinUCB contextual bandit, VS Code extension, and 17-prompt LLM library.
machine-learning vscode-extension self-healing anomaly-detection fault-detection contextual-bandit mlops root-cause-analysis drift-detection ml-pipeline
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Apr 27, 2026 - Python
Contextual bandit (LinUCB) that re-tunes PID gains for a line-following robot as its chassis changes
reinforcement-learning robotics pid-control adaptive-control contextual-bandit linucb robotics-education
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Apr 21, 2026 - Python
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Nov 16, 2017 - Python
A Reinforcement Learning approach to a contextual bandit problem.
reinforcement-learning reinforcement-learning-algorithms bandit-learning markov-decision-processes contextual-bandit
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Dec 2, 2017 - Jupyter Notebook
Contextual Thompson Sampling router for multi-provider LLM APIs. Zero config.
python reinforcement-learning cross-platform rate-limiting openai thompson-sampling multi-armed-bandit contextual-bandit zero-dependencies adaptive-routing llm anthropic cerebras llm-ops llm-gateway llm-routing
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Apr 19, 2026 - Python
Contextual Multi-Armed Bandit that automates credit limit decisions for 10,000 users using Thompson Sampling — beats static limits by 30%+ with an interactive Streamlit dashboard.
python data-science machine-learning reinforcement-learning fintech thompson-sampling multi-armed-bandit credit-risk contextual-bandit streamlit
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May 23, 2026 - HTML
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