Georg Ostrovski
13 papers · 2016–2024 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (8)
🏃
Academic Marathon
(8)
🐝
Cross-Pollinator
(8)
🌈
Renaissance Researcher
(5)
🧬
Topic Evolution
💎
Century Club
(13)
❓
The Questioner
📈
Trend Setter
Conferences
ICML (4)
NIPS (4)
ICLR (3)
AISTATS (1)
JMLR (1)
Top co-authors
Keywords
distributional reinforcement learning
(3)
deep reinforcement learning
(3)
sparse reward
(2)
quantile regression
(2)
exploration bonus
(2)
policy optimization
(1)
image generation
(1)
representation learning
(1)
policy learning
(1)
convergence analysis
(1)
offline reinforcement learning
(1)
dynamic programming
(1)
function approximation
(1)
variance reduction
(1)
passive learning
(1)
stochastic approximation
(1)
density models
(1)
value estimation
(1)
temporal difference
(1)
policy gradient
(1)
Papers
An Analysis of Quantile Temporal-Difference Learning
JMLR 2024
Quantile Credit Assignment
ICML 2023
Deep Reinforcement Learning with Plasticity Injection
NIPS 2023
When should agents explore?
ICLR 2022
The Phenomenon of Policy Churn
NIPS 2022
Temporally-Extended ε-Greedy Exploration
ICLR 2021
The Difficulty of Passive Learning in Deep Reinforcement Learning
NIPS 2021
On the Effect of Auxiliary Tasks on Representation Dynamics
AISTATS 2021
Recurrent Experience Replay in Distributed Reinforcement Learning
ICLR 2019
Implicit Quantile Networks for Distributional Reinforcement Learning
ICML 2018
Autoregressive Quantile Networks for Generative Modeling
ICML 2018
Count-Based Exploration with Neural Density Models
ICML 2017
Unifying Count-Based Exploration and Intrinsic Motivation
NIPS 2016