Search Results for author:
Found 5 papers, 1 papers with code
Using quantum computers in control: interval matrix properties
Quantum computing provides a powerful framework for tackling computational problems that are classically intractable.
Identifying Policy Gradient Subspaces
Policy gradient methods hold great potential for solving complex continuous control tasks.
Investigating the Impact of Action Representations in Policy Gradient Algorithms
Reinforcement learning~(RL) is a versatile framework for learning to solve complex real-world tasks.
Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning
Reinforcement learning has shown great potential in solving complex tasks when large amounts of data can be generated with little effort.
Convergence of fuzzy random walks to a standard Brownian motion
In this note - starting from $d$-dimensional (with $d>1$) fuzzy vectors - we prove Donsker's classical invariance principle.
Probability
