Wojciech M. Czarnecki

PROFILE

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Aliases
Wojciech Czarnecki, Wojciech M Czarnecki, Wojciech Marian Czarnecki, Wojtek Czarnecki
Publication record
77 papers · 15,473 citations · H-index 35

PAPERS

Exploring the Space of Key-Value-Query Models with Intention
20239 citationsauthor #2
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
202315 citationsauthor #22
On the Limitations of Elo: Real-World Games, are Transitive, not Additive
202227 citationsauthor #2
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets
20212 citationsauthor #3
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity
202126 citationsauthor #2
Open-Ended Learning Leads to Generally Capable Agents
2021220 citationsauthor #18
A study on the plasticity of neural networks
202147 citationsauthor #2
From Motor Control to Team Play in Simulated Humanoid Football
2021155 citationsauthor #7
Smooth markets: A basic mechanism for organizing gradient-based learners
202015 citationsauthor #2
Negotiating team formation using deep reinforcement learning
202044 citationsauthor #8
Real World Games Look Like Spinning Tops
2020117 citationsauthor #1
Perception-Prediction-Reaction Agents for Deep Reinforcement Learning
20201 citationsauthor #4
Multiplicative Interactions and Where to Find Them
2020146 citationsauthor #3
A Minimax Theorem for Nonconcave-Nonconvex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets
20200 citationsauthor #3
Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets
20207 citationsauthor #3
Navigating the landscape of multiplayer games
202033 citationsauthor #3
Behavior Priors for Efficient Reinforcement Learning
202046 citationsauthor #8
Navigating the Landscape of Games
20202 citationsauthor #3
Discovering Reinforcement Learning Algorithms
2020144 citationsauthor #3
Information asymmetry in KL-regularized RL
2019104 citationsauthor #7
A Deep Neural Network's Loss Surface Contains Every Low-dimensional Pattern
201913 citationsauthor #1
Distilling Policy Distillation
2019166 citationsauthor #1
Grandmaster level in StarCraft II using multi-agent reinforcement learning
20194,213 citationsauthor #3
Open-ended Learning in Symmetric Zero-sum Games
2019191 citationsauthor #4
Distilling Policy Distillation [ Appendix ]
20190 citationsauthor #1
α-Rank: Multi-Agent Evaluation by Evolution
2019136 citationsauthor #7
Evolving intrinsic motivations for altruistic behavior
201879 citationsauthor #4
Multi-task Deep Reinforcement Learning with PopArt
2018346 citationsauthor #4
Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward
2018809 citationsauthor #4
Human-level performance in 3D multiplayer games with population-based reinforcement learning
2018789 citationsauthor #2
Adapting Auxiliary Losses Using Gradient Similarity
2018171 citationsauthor #2
Mix&Match - Agent Curricula for Reinforcement Learning
201883 citationsauthor #1
Progress & Compress: A scalable framework for continual learning
2018992 citationsauthor #2
Substructural Connectivity Fingerprint and Extreme Entropy Machines—A New Method of Compound Representation and Analysis
20187 citationsauthor #2
Kickstarting Deep Reinforcement Learning
2018146 citationsauthor #6
OCAL MINIMA IN TRAINING OF DEEP NETWORKS
20170 citationsauthor #2
Quo vadis G protein-coupled receptor ligands? A tool for analysis of the emergence of new groups of compounds over time.
20175 citationsauthor #4
Value-Decomposition Networks For Cooperative Multi-Agent Learning
20171,242 citationsauthor #4
Grounded Language Learning in a Simulated 3D World
2017311 citationsauthor #8
Understanding Synthetic Gradients and Decoupled Neural Interfaces
201789 citationsauthor #1
Local minima in training of deep networks
201744 citationsauthor #2
Distral: Robust multitask reinforcement learning
2017600 citationsauthor #3
Sobolev Training for Neural Networks
2017296 citationsauthor #1
Population Based Training of Neural Networks
2017836 citationsauthor #4
Creating the New from the Old: Combinatorial Libraries Generation with Machine-Learning-Based Compound Structure Optimization
201718 citationsauthor #2
On Loss Functions for Deep Neural Networks in Classification
2017593 citationsauthor #2
How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks
201779 citationsauthor #3
Local minima in training of neural networks
201680 citationsauthor #2
Analysis of Compounds Activity Concept Learned by SVM Using Robust Jaccard Based Low-dimensional Embedding
20162 citationsauthor #2
Learning to SMILE(S)
201691 citationsauthor #3
Reinforcement Learning with Unsupervised Auxiliary Tasks
20161,286 citationsauthor #3
Decoupled Neural Interfaces using Synthetic Gradients
2016397 citationsauthor #2
On the consistency of Multithreshold Entropy Linear Classifier
20151 citationsauthor #1
Fast optimization of Multithreshold Entropy Linear Classifier
20152 citationsauthor #2
Robust optimization of SVM hyperparameters in the classification of bioactive compounds
201564 citationsauthor #1
Extreme entropy machines: robust information theoretic classification
201524 citationsauthor #1
Active Learning of Compounds Activity – Towards Scientifically Sound Simulation of Drug Candidates Identification
20154 citationsauthor #1
Online Extreme Entropy Machines for Streams Classification and Active Learning
20153 citationsauthor #1
Renyi's quadratic entropy in classification
20150 citationsauthor #1
Compounds Activity Prediction in Large Imbalanced Datasets with Substructural Relations Fingerprint and EEM
201510 citationsauthor #1
Exploiting uncertainty measures in compounds activity prediction using support vector machines.
201510 citationsauthor #2
Weighted Tanimoto Extreme Learning Machine with Case Study in Drug Discovery
201532 citationsauthor #1
Neural Connectivity Reconstruction from Calcium Imaging Signal using Random Forest with Topological Features
20154 citationsauthor #1
Adaptive Active Learning with Ensemble of Learners and Multiclass Problems
20151 citationsauthor #1
Maximum Entropy Linear Manifold for Learning Discriminative Low-Dimensional Representation
201510 citationsauthor #1
Extremely Randomized Machine Learning Methods for Compound Activity Prediction
201511 citationsauthor #1
Multithreshold Entropy Linear Classifier: Theory and applications
201428 citationsauthor #1
Designing a competition for autonomous robots with a restricted set of sensors with a case study of LEGO NXT
20141 citationsauthor #1
Adaptive Active Learning as a Multi-armed Bandit Problem
20143 citationsauthor #1
Cluster based RBF Kernel for Support Vector Machines
20142 citationsauthor #1
Two ellipsoid Support Vector Machines
201419 citationsauthor #1
Two Ellipsoids Support Vector Machines
20140 citationsauthor #1
Application of genetic algorithms to model the structure of molecular crystals
20143 citationsauthor #2
InFeST - ImageJ Plugin for Rapid Development of Image Segmentation Pipelines
20130 citationsauthor #1
Machine Learning with Known Input Data Uncertainty Measure
201321 citationsauthor #1
Language Resources for Public Security Applications : Needs and Specificities
20121 citationsauthor #3
Multilayer Neural Networks with Receptive Fields as a Model for the Neuron Reconstruction Problem
20120 citationsauthor #1

TIMELINE

2012 1 citations

2013 21 citations

2014 56 citations

2015 176 citations

2016 1,856 citations

2017 4,113 citations

2018 3,422 citations

2019 4,823 citations

2020 555 citations

2021 450 citations

2022 27 citations

2023 24 citations

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