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Showing results 1 to 7 of 7

1
A max-min entropy framework for reinforcement learning

Han, Seungyul; Sung, Youngchul, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Neural Information Processing Systems, 2021-12-07

2
AMBER: Adaptive multi-batch experience replay for continuous action control

Han, Seungyul; Sung, Youngchul, The 28th International Joint Conference on Artificial Intelligence (IJCAI) 2019, SURL Workhsop, IJCAI, 2019-08-12

3
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning

Han, Seungyul; Sung, Youngchul, 36th International Conference on Machine Learning (ICML), The International Machine Learning Society (IMLS), 2019-06-12

4
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration

Han, Seungyul; Sung, Youngchul, International Conference on Machine Learning (ICML), International Conference on Machine Learning (ICML), 2021-07

5
Domain adaptive imitation learning with visual observation

Choi, Sungho; Han, Seungyul; Kim, Woojun; Chae, Jongseong; Jung, Whiyoung; Sung, Youngchul, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023, Neural Information Processing Systems, 2023-12

6
Off-policy multi-agent policy optimization with multi-step counterfactual advantage estimation

Kim, Seongmin; Kim, Woojun; Jeon, Jeewon; Sung, Youngchul; Han, Seungyul, The 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, AAMAS Workshop, 2023-05

7
Robust imitation learning against variations in environment dynamics

Chae, Jongseong; Han, Seungyul; Jung, Whiyoung; Cho, Myung-Sik; Choi, Sungho; Sung, Youngchul, The 39th International Conference on Machine Learning, ICML 2022, International Conference on Machine Learning, 2022-07-23

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