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GECCO
2009
Springer
14 years 2 months ago
Novelty of behaviour as a basis for the neuro-evolution of operant reward learning
An agent that deviates from a usual or previous course of action can be said to display novel or varying behaviour. Novelty of behaviour can be seen as the result of real or appar...
Andrea Soltoggio, Ben Jones
ICML
2010
IEEE
13 years 8 months ago
Constructing States for Reinforcement Learning
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
M. M. Hassan Mahmud
INTERACTIONS
2010
97views more  INTERACTIONS 2010»
13 years 8 months ago
Design challenge based learning (DCBL) and sustainable pedagogical practice
s on Human Factors in Computing Systems. CHI ‘07. New York: ACM, 2007. university environment at scale, with structure, and with rigor. The notion of studio culture and learning ...
Eli Blevis
FLAIRS
2000
13 years 11 months ago
Actively Supporting Collaboration in Virtual Learning Environments
Collaboration between peers is an important aspect of the learning process and can considerably augment learning in studying complex domains. To ensure that peer collaboration occ...
Adrian Gordon, Lynne E. Hall
ATAL
2009
Springer
14 years 4 months ago
SarsaLandmark: an algorithm for learning in POMDPs with landmarks
Reinforcement learning algorithms that use eligibility traces, such as Sarsa(λ), have been empirically shown to be effective in learning good estimated-state-based policies in pa...
Michael R. James, Satinder P. Singh