John Winder
5 papers · 2015–2024 · 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
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
multi-agent reinforcement learning
(1)
reinforcement learning
(1)
sample efficiency
(1)
transfer learning
(1)
hierarchical learning
(1)
geometric deep learning
(1)
hierarchical reinforcement learning
(1)
markov decision process
(1)
value function
(1)
model-based reinforcement learning
(1)
temporal abstraction
(1)
probabilistic planning
(1)
stochastic shortest path
(1)
option model
(1)
inductive bia
(1)
equivariant graph neural network
(1)
task decomposition
(1)
task transfer
(1)
subtask learning
(1)
abstract model
(1)
Papers
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
NeurIPS 2024
Planning with Abstract Learned Models While Learning Transferable Subtasks
AAAI 2020
The Expected-Length Model of Options
IJCAI 2019
A Framework for Anomaly Reasoning: Interpretation through Concept Formation for Knowledge Transfer and Lifelong Learning
IJCAI 2016
Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes
IJCAI 2015