Incorporating Structure in Deep Reinforcement Learning
Authors: Aditya Mohan, Amy Zhang, Marius Lindauer Deep Reinforcement Learning (RL) has significantly advanced in various fields, from playing complex games to controlling robotic systems. However, its application in real-world scenarios still faces numerous challenges, such as poor data efficiency, limited generalization, and a lack of safety guarantees. This work provides a comprehensive overview of […]
Policy Gradients
Model-Free Control
Model-Free Prediction
Planning and Dynamic Programming