Steven James
11 papers · 2018–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (21) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(7)
Machine Learning
(6)
Reinforcement Learning
(5)
Methods
(4)
Core Methods
(3)
Learning Types
(3)
Applications
(2)
Deep Learning
(1)
Natural Language Processing
(1)
Application Areas
(1)
Architectures
(1)
Learning Paradigms
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
transfer learning
(3)
high-level planning
(2)
symbolic representation
(2)
reinforcement learning
(2)
policy learning
(2)
task planning
(2)
skill composition
(2)
latent variable
(1)
boolean algebra
(1)
off-policy learning
(1)
continuous control
(1)
value function
(1)
benchmark evaluation
(1)
disentangled representation
(1)
latent space
(1)
hierarchical representation
(1)
variational autoencoder
(1)
zero-shot generalization
(1)
game ai
(1)
benchmark dataset
(1)
Papers
GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps
NeurIPS 2024
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
ICLR 2024
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies
NeurIPS 2023
Overlooked Implications of the Reconstruction Loss for VAE Disentanglement
IJCAI 2023
Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills
CoRL 2023
Autonomous Learning of Object-Centric Abstractions for High-Level Planning
ICLR 2022
Generalisation in Lifelong Reinforcement Learning through Logical Composition
ICLR 2022
A Boolean Task Algebra for Reinforcement Learning
NeurIPS 2020
Learning Portable Representations for High-Level Planning
ICML 2020
Composing Value Functions in Reinforcement Learning
ICML 2019
Learning Portable Symbolic Representations
IJCAI 2018