activity
20222026
most citedExploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing 2026Show all

1 paper · 1 filter

cs.LG2026

DROGO: Default Representation Objective via Graph Optimization in Reinforcement Learning

Hon Tik Tse, Marlos C. Machado

In computational reinforcement learning, the default representation (DR) and its principal eigenvector have been shown to be effective for a wide variety of applications, including…