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2Apprenticeship Learning using Inverse Reinforcement Learning and Gradient Methods
G. Neu, and {. Szepesvári. UAI, page 295--302. (2007)
5 years ago by @csaba
show all tags
application,
apprenticeship
gradient,
inverse
learning
learning,
natural
reinforcement
theory,
application,apprenticeshipgradient,inverselearninglearning,naturalreinforcementtheory,
(0)
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1An Evaluation Criterion for Macro-Learning and Some Results
{. Kalmár, and {. Szepesvári. TR-99-01. Mindmaker Ltd., Budapest 1121, Konkoly Th. M. u. 29-33, HUNGARY, (1999)
5 years ago by @csaba
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learning
learning,
lifelong
macro
multitask
reinforcement
learninglearning,lifelongmacromultitaskreinforcement
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3Bandit based Monte-Carlo Planning
L. Kocsis, and {. Szepesvári. ECML, page 282--293. (2006)
5 years ago by @csaba
show all tags
Monte-Carlo
UCT,
bandits
games,
in
learning
learning,
methods,
reinforcement
search,
tree
Monte-CarloUCT,banditsgames,inlearninglearning,methods,reinforcementsearch,tree
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1PAC-Bayesian Policy Evaluation for Reinforcement Learning
M. Fard, J. Pineau, and {. Szepesvári. UAI, page 195--202. (July 2011)
5 years ago by @csaba
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approximation,
function
learning
learning,
reinforcement
theory,
transfer
approximation,functionlearninglearning,reinforcementtheory,transfer
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1Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Y. Abbasi-Yadkori, P. Bartlett, V. Kanade, Y. Seldin, and {. Szepesvári. NIPS, page 2508--2516. (December 2013)
5 years ago by @csaba
show all tags
MDPs,
adversarial
finite
learning
learning,
online
reinforcement
setting,
theory,
MDPs,adversarialfinitelearninglearning,onlinereinforcementsetting,theory,
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1Bayesian Optimal Control of Smoothly Parameterized Systems
Y. Abbasi-Yadkori, and {. Szepesvári. UAI, (May 2015)
5 years ago by @csaba
show all tags
MDPs,
Thompson
learning
learning,
online
reinforcement
sampling,
theory,
MDPs,Thompsonlearninglearning,onlinereinforcementsampling,theory,
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2Transfer of task representation in reinforcement learning using policy-based proto-value functions
E. Ferrante, A. Lazaric, and M. Restelli. Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3, International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, (2008)
11 years ago by @eliseofe
show all tags
functions,
graph
learning
learning,
proto-value
reinforcement
spectral
theory,
transfer
functions,graphlearninglearning,proto-valuereinforcementspectraltheory,transfer
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1Adaptation technique for integrating genetic programming and reinforcement learning for real robots
S. Kamio, and H. Iba. IEEE Transactions on Evolutionary Computation, 9 (3): 318--333 (June 2005)
17 years ago by @brazovayeye
show all tags
(RL)
(artificial
AIBO
Adaptation
HOAP-1
Q-learning
adaptation
adaptive
algorithms,
box
box-moving
computation,
evolutionary
four-legged
genetic
humanoid
intelligence),
learning
learning,
legged
locomotion,
method,
moving,
programming,
real
reinforcement
robot,
robots,
systems,
task,
technique,
(RL)(artificialAIBOAdaptationHOAP-1Q-learningadaptationadaptivealgorithms,boxbox-movingcomputation,evolutionaryfour-leggedgenetichumanoidintelligence),learninglearning,leggedlocomotion,method,moving,programming,realreinforcementrobot,robots,systems,task,technique,
(0)
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2Genetically programmed learning classifier system description and results
G. Harrison, and E. Worden. Genetic and Evolutionary Computation Conference (GECCO2007) workshop program, page 2729--2736. London, United Kingdom, ACM Press, (7-11 July 2007)
17 years ago by @brazovayeye
show all tags
(GBML),
(LCS),
agent
agent,
algorithms,
autonomous
brigade,
bucket
classifier
computation,
evolutionary
genetic
genetics-based
intelligent
learning
learning,
machine
programming,
reinforcement
system
(GBML),(LCS),agentagent,algorithms,autonomousbrigade,bucketclassifiercomputation,evolutionarygeneticgenetics-basedintelligentlearninglearning,machineprogramming,reinforcementsystem
(0)
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1Evolutionary Development of Hierarchical Learning Structures
S. Elfwing, E. Uchibe, K. Doya, and H. Christensen. IEEE Transactions on Evolutionary Computation, 11 (2): 249--264 (April 2007)
17 years ago by @brazovayeye
show all tags
(artificial
Lamarckian
MAXQ
RL
algorithms,
decomposition
development,
evolutionary
foraging
genetic
hierarchical
intelligence),
learning
learning,
method,
programming,
reinforcement
structures,
task
task,
(artificialLamarckianMAXQRLalgorithms,decompositiondevelopment,evolutionaryforaginggenetichierarchicalintelligence),learninglearning,method,programming,reinforcementstructures,tasktask,
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2Embodied Evolution of Learning Ability
S. Elfwing. KTH School of Computer Science and Communication, SE-100 44 Stockholm, Sweden, Doctoral Thesis, (November 2007)
17 years ago by @brazovayeye
show all tags
Baldwin
Effect,
Embodied
Evolution
Evolution,
Evolution.
Evolutionary
Hierarchical
Lamarckian
Learning
Learning,
Meta-learning,
Meta-parameters,
Reinforcement
Rewards,
Robotics,
Shaping
algorithms,
and
genetic
programming,
BaldwinEffect,EmbodiedEvolutionEvolution,Evolution.EvolutionaryHierarchicalLamarckianLearningLearning,Meta-learning,Meta-parameters,ReinforcementRewards,Robotics,Shapingalgorithms,andgeneticprogramming,
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1Computational learning techniques for intraday FX trading using popular technical indicators
M. Dempster, T. Payne, Y. Romahi, and G. Thompson. IEEE Transactions on Neural Networks, 12 (4): 744--754 (July 2001)
17 years ago by @brazovayeye
show all tags
(artificial
Markov
algorithms,
computational
costs
decision,
exchange
foreign
genetic
heuristic,
intelligence),
learning
learning,
processes,
programming,
reinforcement
technical
trading,
transaction
(artificialMarkovalgorithms,computationalcostsdecision,exchangeforeigngeneticheuristic,intelligence),learninglearning,processes,programming,reinforcementtechnicaltrading,transaction
(0)
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1Machine Learning of Motor Skills for Robotics
J. Peters. Technical Report, CS-05-867. University of Southern California, Los Angeles, CA, (May 2005)
17 years ago by @janrpeters
show all tags
Gauss'
Learning
Principle;
Reinforcement
gradients
imitation
learning,
learning,motor
learning,reinforcement
policy
primitives,
Gauss'LearningPrinciple;Reinforcementgradientsimitationlearning,learning,motorlearning,reinforcementpolicyprimitives,
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2Apprenticeship Learning using Inverse Reinforcement Learning and Gradient Methods

1An Evaluation Criterion for Macro-Learning and Some Results

3Bandit based Monte-Carlo Planning

1PAC-Bayesian Policy Evaluation for Reinforcement Learning

1Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions

1Bayesian Optimal Control of Smoothly Parameterized Systems

2Transfer of task representation in reinforcement learning using policy-based proto-value functions

1Adaptation technique for integrating genetic programming and reinforcement learning for real robots

2Genetically programmed learning classifier system description and results

1Evolutionary Development of Hierarchical Learning Structures

2Embodied Evolution of Learning Ability

1Computational learning techniques for intraday FX trading using popular technical indicators

1Machine Learning of Motor Skills for Robotics

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