3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.RO2023★ 1 cited
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction
Joshua Bloom, Pranjal Paliwal, Apratim Mukherjee +1
Deep reinforcement learning (DRL) has seen remarkable success in the control of single robots. However, applying DRL to robot swarms presents significant challenges. A critical cha…
cs.RO2022★ 3 cited
A Study of Reinforcement Learning Algorithms for Aggregates of Minimalistic Robots
Joshua Bloom, Apratim Mukherjee, Carlo Pinciroli
The aim of this paper is to study how to apply deep reinforcement learning for the control of aggregates of minimalistic robots. We define aggregates as groups of robots with a phy…