Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search

Qi Wang, Herke van Hoof

Abstract: Reinforcement learning is a promising paradigm for solving sequential decision-making problems, but low data efficiency and weak generalization across tasks are bottlenecks in real-world applicatio...