Audrunas Gruslys
5 papers · 2016–2023 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Reinforcement Learning
(4)
Methods
(4)
Machine Learning
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Applications
(2)
Core AI
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory · Machine Learning
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Architectures
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
policy gradient
(3)
distributional reinforcement learning
(2)
game theory
(1)
imperfect information
(1)
nash equilibrium
(1)
dynamic programming
(1)
variance reduction
(1)
off-policy learning
(1)
policy selection
(1)
mirror descent
(1)
value estimation
(1)
zero-sum game
(1)
recurrent neural network
(1)
memory efficiency
(1)
memory optimization
(1)
actor-critic method
(1)
credit assignment
(1)
backpropagation through time
(1)
computational cost
(1)
partial observation
(1)
Papers
Quantile Credit Assignment
ICML 2023
Fast computation of Nash Equilibria in Imperfect Information Games
ICML 2020
The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
ICLR 2018
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
NeurIPS 2017
Memory-Efficient Backpropagation Through Time
NeurIPS 2016