DesikRengarajan / FEDORA
[NeurIPS 2024] Code for Federated Ensemble-Directed Offline Reinforcement Learning
☆23Updated 7 months ago
Alternatives and similar repositories for FEDORA:
Users that are interested in FEDORA are comparing it to the libraries listed below
- FedFormer: Contextual Federation with Attention in Reinforcement Learning (AAMAS 2023)☆43Updated 5 months ago
- [NeurIPS2021] Federated Reinforcement Learning with Theoretical Guarantees. The repo contains code and experiments for our Federated Poli…☆93Updated last week
- Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, …☆58Updated 3 years ago
- Publication catalog for research on Federated RL (FRL).☆79Updated 3 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 3 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆38Updated 6 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…☆20Updated 4 years ago
- [TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning☆27Updated 2 years ago
- [TITS 2021] Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning☆16Updated 2 years ago
- [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning☆50Updated 2 years ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆32Updated last year
- ☆40Updated 5 years ago
- ☆71Updated 2 years ago
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆24Updated 2 years ago
- code for☆10Updated 4 years ago
- Federated Reinforcement Learning project☆27Updated 2 years ago
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆40Updated 11 months ago
- ☆35Updated 2 years ago
- ☆71Updated last year
- [ICDE 2020] Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach☆16Updated 2 years ago
- [INFOCOM 2021] Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach☆14Updated 2 years ago
- ☆12Updated last year
- ☆44Updated 3 years ago
- ☆27Updated 2 years ago
- ☆15Updated 5 years ago
- Hybrid action space reinforcement learning algorithms.☆12Updated 4 years ago
- qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing☆81Updated last year
- ☆67Updated last year
- Diffusion-based Soft Actor-Critic☆76Updated 4 months ago
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆19Updated 3 years ago