3 papers
cs.LG2026
Optimal Control with Natural Images: Efficient Reinforcement Learning using Overcomplete Sparse Codes
Peter N. Loxley
Optimal control and sequential decision making are widely used in many complex tasks. Optimal control over a sequence of natural images is a first step towards understanding the ro…
cs.LG2025
An Optimal Policy for Learning Controllable Dynamics by Exploration
Peter N. Loxley
Controllable Markov chains describe the dynamics of sequential decision making tasks and are the central component in optimal control and reinforcement learning. In this work, we g…
cs.LG2025
Learning controllable dynamics through informative exploration
Peter N. Loxley, Friedrich T. Sommer
Environments with controllable dynamics are usually understood in terms of explicit models. However, such models are not always available, but may sometimes be learned by exploring…