Thanard Kurutach
9 papers · 2016–2021 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold
π
Renaissance Researcher
(5)
π
Conference Pioneer
Venues
Top co-authors
Research topics
Keywords
model-based reinforcement learning
(3)
visual planning
(3)
robot manipulation
(2)
reinforcement learning
(2)
generative model
(2)
visual reinforcement learning
(2)
policy optimization
(1)
visual navigation
(1)
memory-augmented planning
(1)
sample complexity
(1)
self-supervised learning
(1)
robust planning
(1)
domain randomization
(1)
continuous control
(1)
causal discovery
(1)
mutual information maximization
(1)
sim-to-real transfer
(1)
monte carlo tree search
(1)
state aggregation
(1)
zero-shot learning
(1)
Papers
Mastering Atari Games with Limited Data
NeurIPS 2021
Hallucinative Topological Memory for Zero-Shot Visual Planning
ICML 2020
Learning to Manipulate Deformable Objects without Demonstrations
RSS 2020
Sparse Graphical Memory for Robust Planning
NeurIPS 2020
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
NeurIPS 2020
Learning Robotic Manipulation through Visual Planning and Acting
RSS 2019
Learning Plannable Representations with Causal InfoGAN
NeurIPS 2018
Model-Ensemble Trust-Region Policy Optimization
ICLR 2018
Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures
IJCAI 2016