24 search results - page 3 / 5 » Technical Update: Least-Squares Temporal Difference Learning |
ISDA
2009
IEEE
13 years 12 months ago
2009
IEEE
This paper presents postponed updates, a new strategy for TD methods that can improve sample efficiency without incurring the computational and space requirements of model-based ...
NIPS
2007
13 years 6 months ago
2007
COLT
2000
Springer
13 years 9 months ago
2000
Springer
We give the first rigorous upper bounds on the error of temporal difference (td) algorithms for policy evaluation as a function of the amount of experience. These upper bounds pr...
AAAI
2011
12 years 5 months ago
2011
In this paper we propose differential eligibility vectors (DEV) for temporal-difference (TD) learning, a new class of eligibility vectors designed to bring out the contribution of...
JMLR
2010
13 years 2 days ago
2010
Actor-Critic based approaches were among the first to address reinforcement learning in a general setting. Recently, these algorithms have gained renewed interest due to their gen...