Model Predictive Control (MPC)
MPC is used to optimize control inputs by approximating a reference trajectory using dt, N and T variables in a finite(2-3 seconds) time-horizon. This reference …
Tag: action
Q-learning – Model-free reinforcement learning algorithm
Learns a policy which tells an agent what action to take under what circumstances. Q-learning learns a policy that is optimal in the sense that …
Markov decision process (MDP) – Reinforcement Learning decision model
* Is a discrete time stochastic control process for decision making in situations where outcomes are partly random and partly under the control of a …