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Reinforcement Learning Algorithms And Dynamic Programming ⭐ 60

Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied to stabilize an inverted pendulum system and achieve optimal control. So essentially, the concept of Reinforcement Learning Controllers has been established. The Reinforcement Learning Controllers have been compared on the basis of performance and efficiency and they are separately compared with the classical Linear Quadratic Regulator Controller. Each of the RL

Minimal Policy Search Toolbox

Rlsimulator Sbw Controller Using Reinforcement Learning ⭐ 5

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