2024
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
ICLR 2024poster
Inspired by human conscious planning, we propose Skipper, a model-based reinforcement learning framework utilizing spatio-temporal abstractions to generalize better in novel situations. It automatically decomposes the given task into smaller, more manageable subtasks, and thus enables sparse decisio…