research
∙
06/06/2023
LLMZip: Lossless Text Compression using Large Language Models
We provide new estimates of an asymptotic upper bound on the entropy of ...
share
research
∙
05/04/2023
Federated Ensemble-Directed Offline Reinforcement Learning
We consider the problem of federated offline reinforcement learning (RL)...
research
∙
04/21/2023
EdgeRIC: Empowering Realtime Intelligent Optimization and Control in NextG Networks
Radio Access Networks (RAN) are increasingly softwarized and accessible ...
research
∙
11/02/2022
Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality
The transition towards carbon-neutral electricity is one of the biggest ...
research
∙
09/26/2022
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
Meta reinforcement learning (Meta-RL) is an approach wherein the experie...
research
∙
03/06/2022
OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation
This paper presents OpenGridGym, an open-source Python-based package tha...
research
∙
02/09/2022
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
A major challenge in real-world reinforcement learning (RL) is the spars...
research
∙
12/01/2021
Safe Exploration for Constrained Reinforcement Learning with Provable Guarantees
We consider the problem of learning an episodic safe control policy that...
research
∙
10/05/2021
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL
Whittle index policy is a powerful tool to obtain asymptotically optimal...
research
∙
08/01/2020
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
Many physical systems have underlying safety considerations that require...
research
∙
06/21/2020
Learning Trembling Hand Perfect Mean Field Equilibrium for Dynamic Mean Field Games
Mean Field Games (MFG) are those in which each agent assumes that the st...
research
∙
04/01/2020
Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms
Crucial performance metrics of a caching algorithm include its ability t...
research
∙
04/08/2019
Mode-Suppression: A Simple, Stable and Scalable Chunk-Sharing Algorithm for P2P Networks
The ability of a P2P network to scale its throughput up in proportion to...
research
∙
03/28/2019
Cache-Version Selection and Content Placement for Adaptive Video Streaming in Wireless Edge Networks
Wireless edge networks are promising to provide better video streaming s...
research
∙
01/23/2019
Broadcasting Real-Time Flows in Integrated Backhaul and Access 5G Networks
This paper studies the problem of broadcasting real-time flows in multi-...
research
∙
01/04/2019
QFlow: A Reinforcement Learning Approach to High QoE Video Streaming over Wireless Networks
Wireless Internet access has brought legions of heterogeneous applicatio...
research
∙
01/11/2018
A Monetary Mechanism for Stabilizing Cooperative Data Exchange with Selfish Users
This paper considers the problem of stabilizing cooperative data exchang...
research
∙
01/02/2018
FlowBazaar: A Market-Mediated Software Defined Communications Ecosystem at the Wireless Edge
Wireless Internet access has brought legions of heterogeneous apps all s...
research
∙
12/12/2017
Small-Scale Markets for Bilateral Resource Trading in the Sharing Economy
We consider a general small-scale market for agent-to-agent resource sha...
research
∙
04/08/2016