114 search results - page 2 / 23 » Temporal Difference Updating without a Learning Rate |
116
Voted
AAAI
2011
14 years 1 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...
93
Voted
ML
2000
ACM
15 years 28 days ago
2000
ACM
In this paper we present TDLEAF( ), a variation on the TD( ) algorithm that enables it to be used in conjunction with game-tree search. We present some experiments in which our che...
76
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
141
Voted
ICML
1999
IEEE
16 years 1 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
139
Voted
NIPS
2008
15 years 2 months ago
2008
Actor-critic algorithms for reinforcement learning are achieving renewed popularity due to their good convergence properties in situations where other approaches often fail (e.g.,...