Daniel Nikovski
7 papers · 2017–2021 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird β The Questioner
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Research topics
Machine Learning
(5)
Reinforcement Learning
(4)
Methods Β· Reinforcement Learning
(4)
Artificial Intelligence
(3)
Core AI
(3)
Core Methods
(3)
Learning Types
(3)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Applications
(2)
Methods Β· Data Science & Analytics
(2)
Mathematics & Optimization
(1)
Learning Paradigms
(1)
Optimization
(1)
Keywords
deep reinforcement learning
(2)
sample efficiency
(2)
feature extraction
(2)
preference learning
(1)
weakly supervised learning
(1)
time series
(1)
optimal control
(1)
value function
(1)
state representation
(1)
model-based reinforcement learning
(1)
off-policy learning
(1)
off-policy reinforcement learning
(1)
robot manipulation
(1)
generative model
(1)
random projection
(1)
continuous action space
(1)
dynamical system
(1)
partial differential equation
(1)
loss function
(1)
transition probability
(1)
Papers
Personalizing Individual Comfort in the Group Setting
AAAI 2021
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
ICML 2020
Deep Reactive Planning in Dynamic Environments
CoRL 2020
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control
ICML 2018
Time Series Chains: A Novel Tool for Time Series Data Mining
IJCAI 2018
Random Projection Filter Bank for Time Series Data
NeurIPS 2017
Value-Aware Loss Function for Model-based Reinforcement Learning
AISTATS 2017