research
∙
05/04/2023
Federated Ensemble-Directed Offline Reinforcement Learning
We consider the problem of federated offline reinforcement learning (RL)...
share
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
∙
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
∙
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
∙
01/04/2019