Taehwan Kwon
5 papers · 2021–2023 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(4)
Reinforcement Learning
(4)
Methods
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Types
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Generation
(1)
Learning Paradigms
(1)
Keywords
reinforcement learning
(3)
few-shot learning
(1)
natural language generation
(1)
dialogue generation
(1)
response generation
(1)
message passing
(1)
episodic memory
(1)
np-hard optimization
(1)
multi-agent planning
(1)
intrinsic motivation
(1)
gaussian mixture model
(1)
variational autoencoder
(1)
sparse reward
(1)
intrinsic reward
(1)
unsupervised reinforcement learning
(1)
pre-trained language model
(1)
evidence lower bound
(1)
auction theory
(1)
stochastic environment
(1)
variational intrinsic control
(1)
Papers
Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation
EMNLP 2023
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning
NeurIPS 2022
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward
NeurIPS 2022
Selective Token Generation for Few-shot Natural Language Generation
COLING 2022
Variational Intrinsic Control Revisited
ICLR 2021