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Sample effficient deep reinforcement learning for control
Tim de Bruin
Learning & Autonomous Control
Research output
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Thesis
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Dissertation (TU Delft)
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Research output
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Dive into the research topics of 'Sample effficient deep reinforcement learning for control'. Together they form a unique fingerprint.
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Computer Science
Algorithms
30%
Data Diversity
10%
Deep Neural Network
20%
Deep Reinforcement Learning
100%
Frequency Control
10%
Function Approximation
10%
Learning Agent
10%
Learning Process
30%
Legal Decision
40%
Mathematical Optimization
10%
Network Target
10%
Networking Function
10%
Neural Network
20%
Optimization Technique
10%
Procedures
40%
Reinforcement Learning
100%
Representation Learning
20%
Robot
60%
Robotics
20%
Standards
10%
State Space
10%
Training Objective
10%
INIS
algorithms
17%
approximations
3%
buffers
13%
compacts
3%
control
100%
data
24%
distribution
13%
environment
3%
errors
6%
exploration
10%
frequency control
3%
hands
6%
humans
3%
learning
100%
levels
3%
mapping
6%
maps
3%
neural networks
13%
optimization
24%
performance
10%
policy
17%
prices
3%
range
3%
reviews
3%
robots
20%
sampling
3%
sensitivity
3%
sensors
3%
simulation
3%
size
3%
space
13%
speed
3%
stability
3%
streams
6%
tools
3%
trains
6%
tuning
6%
utilities
13%
values
3%
Psychology
Abilities
6%
Forgetting
6%
Humans
6%
Judgement
26%
Learning Algorithm
6%
Neural Network
26%
Reinforcement
100%
Tools
6%
Training
46%
Trust
6%
Chemical Engineering
Deep Neural Network
13%
Neural Network
13%
Reinforcement Learning
100%
Material Science
Sensor
100%
Engineering
Additional Training
6%
Instantaneous Utility
6%
Network Function
6%
Target Network
6%