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2020 – today
- 2024
[c3]Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi, Byoung-Tak Zhang, Sanghack Lee:
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning. ICML 2024- [i4]Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang, Sanghack Lee:
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition. CoRR abs/2405.07220 (2024) - [i3]Yunhyeok Kwak, Inwoo Hwang, Dooyoung Kim, Sanghack Lee, Byoung-Tak Zhang:
Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction. CoRR abs/2406.00614 (2024) - [i2]Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi, Byoung-Tak Zhang, Sanghack Lee:
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning. CoRR abs/2406.03234 (2024) - 2023
- [c2]Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang, Sanghack Lee:
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition. CLeaR 2023: 448-472 - 2022
- [c1]Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang:
SelecMix: Debiased Learning by Contradicting-pair Sampling. NeurIPS 2022 - [i1]Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang:
SelecMix: Debiased Learning by Contradicting-pair Sampling. CoRR abs/2211.02291 (2022)
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