Dyna Q Explained Simply Ai Algorithm Guide

Summary

This video is part of the Udacity course "Machine Learning for Trading". Watch the full course at ... Real-Time Dynamic Programming is a recognized method in reinforcement learning used for planning. Reward Shaping is a recognized method in reinforcement learning used for reward design. Prioritized Sweeping is a recognized method in reinforcement learning used for model-based rl. Options Framework is a recognized method in reinforcement learning used for hierarchical rl. Universal Value Function Approximator is a recognized method in reinforcement learning used for goal-conditioned rl. Policy Iteration is a recognized method in reinforcement learning used for dynamic programming. Successor Representation is a recognized method in reinforcement learning used for representation learning.