3 papers
cs.LG2024
A Look at Value-Based Decision-Time vs. Background Planning Methods Across Different Settings
Safa Alver, Doina Precup
In model-based reinforcement learning (RL), an agent can leverage a learned model to improve its way of behaving in different ways. Two of the prevalent ways to do this are through…
cs.LG2024
Partial Models for Building Adaptive Model-Based Reinforcement Learning Agents
Safa Alver, Ali Rahimi-Kalahroudi, Doina Precup
In neuroscience, one of the key behavioral tests for determining whether a subject of study exhibits model-based behavior is to study its adaptiveness to local changes in the envir…
cs.AI2024
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
Mingde Zhao, Safa Alver, Harm van Seijen +3
Inspired by human conscious planning, we propose Skipper, a model-based reinforcement learning framework utilizing spatio-temporal abstractions to generalize better in novel situat…