Andrey Gorodetskiy

Model-based Policy Optimization using Symbolic World Model

The application of learning-based control methods in robotics presents significant challenges. One is that model-free reinforcement learning algorithms use observation data with low sample efficiency. To address this challenge, a prevalent approach is model-based reinforcement learning, which involv…