research
∙
08/09/2023
An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning
Communication is crucial in multi-agent reinforcement learning when agen...
share
research
∙
08/09/2023
Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning
Many multi-agent systems require inter-agent communication to properly a...
research
∙
12/21/2022
Deep set conditioned latent representations for action recognition
In recent years multi-label, multi-class video action recognition has ga...
research
∙
04/12/2022
An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning
Communication is crucial in multi-agent reinforcement learning when agen...
research
∙
10/29/2021
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System
Recent work in multi-agent reinforcement learning has investigated inter...
research
∙
10/29/2021
Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning
By using communication between multiple agents in multi-agent environmen...
research
∙
10/13/2021
A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark
In this paper, the authors investigate the Deep Sea Treasure (DST) probl...
research
∙
10/07/2020
Exploiting non-i.i.d. data towards more robust machine learning algorithms
In the field of machine learning there is a growing interest towards mor...
research
∙
06/12/2020
