2 papers
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…
cs.LG2026
Reward-Aware Proto-Representations in Reinforcement Learning
Hon Tik Tse, Siddarth Chandrasekar, Marlos C. Machado
In recent years, the successor representation (SR) has attracted increasing attention in reinforcement learning (RL), and it has been used to address some of its key challenges, su…