On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization

no code implementations • NeurIPS 2012 • Doina Precup, Joelle Pineau, Andre S. Barreto

The ability to learn a policy for a sequential decision problem with continuous state space using on-line data is a long-standing challenge.

reinforcement-learning Reinforcement Learning (RL)

Reinforcement Learning using Kernel-Based Stochastic Factorization

no code implementations • NeurIPS 2011 • Andre S. Barreto, Doina Precup, Joelle Pineau

Kernel-based reinforcement-learning (KBRL) is a method for learning a decision policy from a set of sample transitions which stands out for its strong theoretical guarantees.

reinforcement-learning Reinforcement Learning (RL)