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Whiyoung Jung
Whiyoung Jung
AI Scientist, LG AI Research
Bestätigte E-Mail-Adresse bei lgresearch.ai
Titel
Zitiert von
Zitiert von
Jahr
Population-Guided Parallel Policy Search for Reinforcement Learning
W Jung, G Park, Y Sung
International Conference on Learning Representations, 2020
442020
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
J Jeon, W Kim, W Jung, Y Sung
International Conference on Machine Learning, 10041-10052, 2022
242022
A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning
W Kim, W Jung, M Cho, Y Sung
arXiv preprint arXiv:2006.02732, 2020
152020
Robust Imitation Learning against Variations in Environment Dynamics
J Chae, S Han, W Jung, M Cho, S Choi, Y Sung
International Conference on Machine Learning, 2828-2852, 2022
82022
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning
W Kim, W Jung, M Cho, Y Sung
ICML 2022 Workshop AI for Agent-Based Modelling, 0
5*
Multi-task Reinforcement Learning with Task Representation Method
M Cho, W Jung, Y Sung
ICLR 2022 Workshop on Generalizable Policy Learning in Physical World, 2022
42022
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability
W Jung, M Cho, J Park, Y Sung
Neural Information Processing Systems, 2022
22022
Domain Adaptive Imitation Learning with Visual Observation
S Choi, S Han, W Kim, J Chae, W Jung, Y Sung
Thirty-seventh Conference on Neural Information Processing Systems, 2023
2023
Model Ensemble-Based Intrinsic Reward for Sparse Reward Reinforcement Learning
G Park, W Jung, S Choi, Y Sung
2019
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