Exploring rich environments and evaluating one's actions without prior knowledge is
immensely challenging. In this paper, we propose Motif, a general method to interface such …

The Credit Assignment Problem (CAP) refers to the longstanding challenge of
Reinforcement Learning (RL) agents to associate actions with their long-term …

Temporal difference learning (TD) is a foundational concept in reinforcement learning (RL),
aimed at efficiently assessing a policy's value function. TD (λ), a potent variant, incorporates …