779 search results - page 7 / 156 » Reinforcement Using Supervised Learning for Policy Generaliz... |
166
Voted
CORR
2012
Springer
14 years 8 days ago
2012
Springer
Bayesian priors offer a compact yet general means of incorporating domain knowledge into many learning tasks. The correctness of the Bayesian analysis and inference, however, lar...
153
click to vote
ICRA
2006
IEEE
15 years 10 months ago
2006
IEEE
— Legged robots can, in principle, traverse a large variety of obstacles and terrains. In this paper, we describe a successful application of reinforcement learning to the proble...
126
click to vote
ACL
2009
15 years 2 months ago
2009
In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function tha...
145
click to vote
GECCO
2006
Springer
15 years 8 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
173
Voted
ATAL
2005
Springer
15 years 10 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...