Georg Ostrovski
13 papers · 2016–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (21) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§
Keyword Pioneer
π¬
Deep Specialist
(11)
ποΈ
Keyword Collector
(62)
π
Trend Setter
π
Century Club Β· Bronze
β
The Questioner
Top co-authors
Research topics
Reinforcement Learning
(11)
Methods
(11)
Machine Learning
(9)
Learning Types Β· Machine Learning
(6)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Applications
(2)
Computer Vision
(1)
Bayesian & Probabilistic
(1)
Generation
(1)
Models
(1)
Keywords
deep reinforcement learning
(4)
distributional reinforcement learning
(3)
reinforcement learning
(2)
quantile regression
(2)
exploration bonus
(2)
sparse reward
(2)
policy optimization
(1)
image generation
(1)
representation learning
(1)
policy learning
(1)
temporal difference
(1)
dynamic programming
(1)
convergence analysis
(1)
variance reduction
(1)
density models
(1)
function approximation
(1)
passive learning
(1)
value estimation
(1)
stochastic approximation
(1)
policy gradient
(1)
Papers
An Analysis of Quantile Temporal-Difference Learning
JMLR 2024
Deep Reinforcement Learning with Plasticity Injection
NeurIPS 2023
Quantile Credit Assignment
ICML 2023
The Phenomenon of Policy Churn
NeurIPS 2022
When should agents explore?
ICLR 2022
On the Effect of Auxiliary Tasks on Representation Dynamics
AISTATS 2021
Temporally-Extended Ξ΅-Greedy Exploration
ICLR 2021
The Difficulty of Passive Learning in Deep Reinforcement Learning
NeurIPS 2021
Recurrent Experience Replay in Distributed Reinforcement Learning
ICLR 2019
Autoregressive Quantile Networks for Generative Modeling
ICML 2018
Implicit Quantile Networks for Distributional Reinforcement Learning
ICML 2018
Count-Based Exploration with Neural Density Models
ICML 2017
Unifying Count-Based Exploration and Intrinsic Motivation
NeurIPS 2016