7 citations · 23 across the 8 of their papers we have counts for
3 papers · 1 filter
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System
Simon Vanneste, Gauthier de Borrekens, Stig Bosmans +5
Recent work in multi-agent reinforcement learning has investigated inter agent communication which is learned simultaneously with the action policy in order to improve the team rew…
Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning
Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste +4
By using communication between multiple agents in multi-agent environments, one can reduce the effects of partial observability by combining one agent's observation with that of ot…
A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark
Amber Cassimon, Reinout Eyckerman, Siegfried Mercelis +2
In this paper, the authors investigate the Deep Sea Treasure (DST) problem as proposed by Vamplew et al. Through a number of proofs, the authors show the original DST problem to be…