Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network

no code implementations • 2 Nov 2022 • Yao Feng, Yuhong Jiang, Hang Su, Dong Yan, Jun Zhu

Model-based reinforcement learning usually suffers from a high sample complexity in training the world model, especially for the environments with complex dynamics.

Model-based Reinforcement Learning reinforcement-learning +1