> Miguel VF

Reinforcement Learning in Isaac Lab

Published: at 01:35 AM
∇⋅E=ρε0∇⋅B=0∇×E=−∂B∂t∇×B=μ0(J+ε0∂E∂t)\begin{aligned} \nabla \cdot \mathbf{E} &= \frac{\rho}{\varepsilon_0} \\ \nabla \cdot \mathbf{B} &= 0 \\ \nabla \times \mathbf{E} &= -\frac{\partial \mathbf{B}}{\partial t} \\ \nabla \times \mathbf{B} &= \mu_0\left(\mathbf{J} + \varepsilon_0 \frac{\partial \mathbf{E}}{\partial t}\right) \end{aligned}
AgentEnvironmentActionatNewstatest+1Rewardrt+1