1 code implementation • 1 Feb 2024 • Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun, Chien Feng, Cho-Jui Hsieh, Chun-Yi Lee
In this paper, we focus on single-demonstration imitation learning (IL), a practical approach for real-world applications where obtaining numerous expert demonstrations is costly or infeasible.
1 code implementation • 4 Jun 2023 • Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee
In fully cooperative multi-agent reinforcement learning (MARL) settings, environments are highly stochastic due to the partial observability of each agent and the continuously changing policies of other agents.
Ranked #1 on SMAC on SMAC 26m_vs_30m
1 code implementation • 26 Sep 2022 • Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee
In addition, we show that USBMs' inability to preserve the property of conservativeness may lead to degraded performance in practice.
2 code implementations • ICLR 2022 • Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee
These methods facilitate the training procedure of conditional score models, as a mixture of scores can be separately estimated using a score model and a classifier.
1 code implementation • 16 Feb 2021 • Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee
In fully cooperative multi-agent reinforcement learning (MARL) settings, the environments are highly stochastic due to the partial observability of each agent and the continuously changing policies of the other agents.
Ranked #1 on SMAC on SMAC 27m_vs_30m