pengyang7881187 / FedRL
Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, 2022.
☆54Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for FedRL
- code for NeurIPS2021 paper on Federated Reinforcement Learning with Byzantine Resilience☆85Updated last year
- Publication catalog for research on Federated RL (FRL).☆75Updated 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
- ☆34Updated last year
- FedFormer: Contextual Federation with Attention in Reinforcement Learning (AAMAS 2023)☆41Updated last week
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆36Updated 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…☆18Updated 3 years ago
- ☆39Updated 4 years ago
- Federated Reinforcement Learning project☆26Updated last year
- ☆10Updated last year
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆34Updated 6 months ago
- Welcome to FLSim_V2, a PyTorch based federated Reinforcement learning simulation framework☆9Updated last year
- [NeurIPS 2024] Code for Federated Ensemble-Directed Offline Reinforcement Learning☆21Updated last month
- Federated Reinforcement Learning☆11Updated 5 years ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆25Updated 7 months ago
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆18Updated 3 years ago
- This is the code for paper "Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforce…☆25Updated 3 years ago
- ☆15Updated 5 years ago
- ALL is a pre-training method based on Federated Meta-Learning and Reinforcement Learning, which is used to address the small-sample issue…☆11Updated 2 years ago
- ☆25Updated last year
- [TITS 2021] Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning☆16Updated 2 years ago
- ☆66Updated 2 years ago
- ☆43Updated 2 years ago
- Apply Deep Reinforcement Learning aided by Federated Learning to Wireless Comunication☆105Updated 3 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆27Updated last year
- Adaptive Offloading of Federated Learning on IoT Devices☆68Updated 2 years ago
- ☆12Updated last year
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆23Updated 2 years ago
- A simulation of energy consumption of a federated learning system based on the non-orthogonal multiple access (NOMA) transmission protoco…☆25Updated 3 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 3 years ago