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1
Simulation-based Algorithms for Markov Decision Processes (Communications and Control Engineering)
Hyeong Soo Chang
,
Michael C. Fu
,
Jiaqiao Hu
,
Steven I. Marcus
,
policy
algorithm
optimal
function
sampling
χ̄k
horizon
iteration
simulation
λk
probability
policies
random
convergence
search
algorithms
finite
erps
estimate
adaptive
assumption
sample
optimization
θk
step
reward
parameter
population
mdps
π̂
lemma
decision
χk
generated
initial
mdp
theorem
distributions
equation
θ9k
w.p
ρk
stochastic
φi
elite
analysis
simulated
infinite
reference
samples
年:
2007
语言:
english
文件:
PDF, 1.76 MB
您的标签:
0
/
0
english, 2007
2
Simulation-Based Algorithms For Markov Decision Processes
Springer
Hyeong Soo Chang
,
Michael C. Fu
,
Jiaqiao Hu
,
Steven I. Marcus
policy
algorithm
optimal
function
sampling
χ̄k
horizon
iteration
simulation
λk
probability
policies
random
convergence
search
algorithms
finite
erps
estimate
adaptive
assumption
sample
optimization
step
reward
parameter
θk
population
mdps
π̂
lemma
decision
χk
generated
initial
mdp
theorem
distributions
equation
φi
θ9k
ρk
w.p
stochastic
elite
analysis
simulated
infinite
reference
samples
年:
2007
语言:
english
文件:
PDF, 2.12 MB
您的标签:
0
/
0
english, 2007
3
Simulation-based Algorithms for Markov Decision Processes
Springer
Hyeong Soo Chang
,
Michael C. Fu
,
Jiaqiao Hu
,
Steven I. Marcus
policy
algorithm
optimal
function
sampling
χ̄k
horizon
iteration
simulation
λk
probability
policies
random
convergence
search
algorithms
finite
erps
estimate
adaptive
assumption
sample
optimization
step
θk
reward
parameter
population
mdps
π̂
lemma
decision
χk
generated
initial
mdp
theorem
distributions
equation
φi
θ9k
ρk
w.p
stochastic
elite
analysis
simulated
infinite
reference
samples
年:
2007
语言:
english
文件:
PDF, 2.11 MB
您的标签:
0
/
0
english, 2007
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