Pages that link to "Item:Q2804092"
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The following pages link to An introduction to stochastic control theory, path integrals and reinforcement learning (Q2804092):
Displaying 12 items.
- Optimal control as a graphical model inference problem (Q420939) (← links)
- Multi-agent formation control based on Bell-shaped potential functions (Q614830) (← links)
- Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space (Q825596) (← links)
- Existence of the optimal control for stochastic boundary control problems governed by semilinear parabolic equations (Q1718613) (← links)
- Reinforcement learning in order to control biomechanical models (Q1982802) (← links)
- A bag-of-paths framework for network data analysis (Q2181053) (← links)
- Path-integral-based reinforcement learning algorithm for goal-directed locomotion of snake-shaped robot (Q2657458) (← links)
- A generalized path integral control approach to reinforcement learning (Q2896181) (← links)
- Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations (Q3381948) (← links)
- Whence the Expected Free Energy? (Q5004305) (← links)
- Scoring a goal optimally in a soccer game under Liouville-like quantum gravity action (Q6081830) (← links)
- Optimal lock-down intensity: a stochastic pandemic control approach of path integral (Q6145560) (← links)
