1236 search results - page 75 / 248 » Opposition-Based Reinforcement Learning |
128
Voted
CORR
2006
Springer
15 years 20 days ago
2006
Springer
While in general trading off exploration and exploitation in reinforcement learning is hard, under some formulations relatively simple solutions exist. Optimal decision thresholds ...
129
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
96
Voted
AR
2007
15 years 23 days ago
2007
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
FLAIRS
2006
15 years 2 months ago
2006
We propose a new framework for aiding a reinforcement learner by allowing it to relocate, or move, to a state it selects so as to decrease the number of steps it needs to take in ...
106
Voted
ECML
2005
Springer
15 years 6 months ago
2005
Springer
We present a method for transferring knowledge learned in one task to a related task. Our problem solvers employ reinforcement learning to acquire a model for one task. We then tra...