DesikRengarajan / FEDORALinks
[NeurIPS 2024] Code for Federated Ensemble-Directed Offline Reinforcement Learning
☆25Updated last year
Alternatives and similar repositories for FEDORA
Users that are interested in FEDORA are comparing it to the libraries listed below
Sorting:
- [NeurIPS2021] Federated Reinforcement Learning with Theoretical Guarantees. The repo contains code and experiments for our Federated Poli…☆98Updated 5 months ago
- FedFormer: Contextual Federation with Attention in Reinforcement Learning (AAMAS 2023)☆43Updated 10 months ago
- Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, …☆61Updated 3 years ago
- Publication catalog for research on Federated RL (FRL).☆83Updated 4 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆39Updated 7 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
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆47Updated last year
- ☆39Updated 5 years ago
- ☆14Updated 5 years ago
- In this work, we propose a novel formulation titled Federated Deep Q Networks (F-DQN) to perform distributed learning for Deep RL algorit…☆21Updated 4 years ago
- [TITS 2021] Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning☆16Updated 3 years ago
- Federated Reinforcement Learning project☆30Updated 2 years ago
- [TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning☆27Updated 3 years ago
- ☆36Updated 2 years ago
- Code for IEEE GLOBECOM 2023 paper "Caching for Edge Inference at Scale: A Mean Field Multi-Agent Reinforcement Learning Approach".☆13Updated last year
- [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning☆53Updated 2 years ago
- [INFOCOM 2021] Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach☆15Updated 3 years ago
- ☆23Updated last month
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆34Updated last year
- Hybrid action space reinforcement learning algorithms.☆13Updated 4 years ago
- ☆45Updated 3 years ago
- Testing different RL algorithms for multi-agent environments. From SARSA, QLearning to Independent Q-Learning, Joint Action Learning and …☆11Updated 6 years ago
- ☆44Updated 3 years ago
- ☆73Updated 3 years ago
- ☆13Updated 2 years ago
- [ICDE 2020] Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach☆18Updated 3 years ago
- An online federated reinforcement learning algorithm published in INFOCOM2024☆17Updated 9 months ago
- Code for "Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning", IJCAI24.☆14Updated 7 months ago
- ☆29Updated 2 years ago
- ☆11Updated 2 years ago