Bilkent-CYBORG / ACC-UCBLinks
Implementation of the Adaptive Contextual Combinatorial Upper Confidence Bound (ACC-UCB) algorithm for the contextual combinatorial volatile multi-armed bandit setting.
☆21Updated 5 years ago
Alternatives and similar repositories for ACC-UCB
Users that are interested in ACC-UCB are comparing it to the libraries listed below
Sorting:
- ☆39Updated 5 years ago
- [NeurIPS2021] Federated Reinforcement Learning with Theoretical Guarantees. The repo contains code and experiments for our Federated Poli…☆97Updated 3 months ago
- Publication catalog for research on Federated RL (FRL).☆82Updated 3 years ago
- ☆36Updated 2 years ago
- Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, …☆59Updated 3 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆39Updated 6 years ago
- Welcome to FLSim_V2, a PyTorch based federated Reinforcement learning simulation framework☆10Updated 2 years ago
- Federated Reinforcement Learning project☆30Updated 2 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆41Updated 2 years ago
- hizircanbayram / FeDQN-A-Federated-Learning-Approach-for-Training-Reinforcement-Learning-Agent-of-Atari-GamesFeDQN is a federated pipeline for training reinforcement learning agent of atari game, the Pong, developed during my first semester at Is…☆24Updated 4 years ago
- ☆11Updated 4 years ago
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆45Updated last year
- Federated Learning over Wireless Networks☆46Updated 3 years ago
- Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"☆281Updated 3 months ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆250Updated last year
- A simulation framework for Federated Learning written in PyTorch☆207Updated 3 years ago
- FedFormer: Contextual Federation with Attention in Reinforcement Learning (AAMAS 2023)☆43Updated 9 months ago
- ☆10Updated 7 months ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 4 years ago
- [NeurIPS 2024] Code for Federated Ensemble-Directed Offline Reinforcement Learning☆25Updated 10 months ago
- ☆18Updated 8 months ago
- Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'☆69Updated 3 years ago
- Deep reinforcement learning for REsource Allocation in streaM processing☆31Updated 2 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆92Updated 2 years ago
- Federated Reinforcement Learning☆12Updated 6 years ago
- Federated Multi-Task Learning☆132Updated 6 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆75Updated 2 years ago
- Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.☆120Updated 4 years ago
- The light codes for the paper published in IJPR named 'Federated Deep Reinforcement Learning for Dynamic Job Scheduling in Cloud-edge Col…☆17Updated last year
- ALL is a pre-training method based on Federated Meta-Learning and Reinforcement Learning, which is used to address the small-sample issue…☆11Updated 3 years ago