ICML
2003
IEEE
15 years 15 days ago
2003
IEEE
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
ICML
2003
IEEE
15 years 15 days ago
2003
IEEE
ICML
2003
IEEE
15 years 15 days ago
2003
IEEE
We present a new method for transductive learning, which can be seen as a transductive version of the k nearest-neighbor classifier. Unlike for many other transductive learning me...
ICML
2003
IEEE
15 years 15 days ago
2003
IEEE
ICML
2003
IEEE
15 years 15 days ago
2003
IEEE
ICML
2003
IEEE
15 years 15 days ago
2003
IEEE
We investigate algebraic, logical, and geometric properties of concepts recognized by various classes of probabilistic classifiers. For this we introduce a natural hierarchy of pr...
ICML
2003
IEEE
15 years 15 days ago
2003
IEEE
Learning to fly an aircraft is a complex task that requires the development of control skills and goal achievement strategies. This paper presents a behavioural cloning system tha...
ICML
2003
IEEE
15 years 15 days ago
2003
IEEE
In this paper we present a simple to implement truly online large margin version of the Perceptron ranking (PRank) algorithm, called the OAP-BPM (Online Aggregate Prank-Bayes Poin...
ICML
2003
IEEE
15 years 15 days ago
2003
IEEE
ICML
2003
IEEE
15 years 15 days ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...