54 citations · 86 across the 4 of their papers we have counts for
4 papers
Detecting Olives with Synthetic or Real Data? Olive the Above
Yianni Karabatis, Xiaomin Lin, Nitin J. Sanket +2
Modern robotics has enabled the advancement in yield estimation for precision agriculture. However, when applied to the olive industry, the high variation of olive colors and their…
Value Function Approximation in Zero-Sum Markov Games
Michail Lagoudakis, Ron Parr
This paper investigates value function approximation in the context of zero-sum Markov games, which can be viewed as a generalization of the Markov decision process (MDP) framework…
Rollout Sampling Approximate Policy Iteration
Christos Dimitrakakis, Michail G. Lagoudakis
Several researchers have recently investigated the connection between reinforcement learning and classification. We are motivated by proposals of approximate policy iteration schem…
Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration
Christos Dimitrakakis, Michail G. Lagoudakis
Several approximate policy iteration schemes without value functions, which focus on policy representation using classifiers and address policy learning as a supervised learning pr…