2024
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes
ICLR 2024poster
Discrete-action reinforcement learning algorithms often falter in tasks with high-dimensional discrete action spaces due to the vast number of possible actions. A recent advancement leverages value-decomposition, a concept from multi-agent reinforcement learning, to tackle this challenge. This study…