Siddarth Chandrasekar

Reward-Aware Proto-Representations in Reinforcement Learning

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, such as exploration, credit assignment, and generalization. The SR can be seen as representing the underlying credit assig…