Learning to Play Hard Exploration Games Using Graph-Guided Self-Navigation. - Enmin Zhao; Renye Yan; Kai Li 022; Lijuan Li 002; Junliang Xing (IJCNN, 2021)

AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning. - Enmin Zhao; Renye Yan; Jinqiu Li; Kai Li 022; Junliang Xing (AAAI, 2022)

Mnemonic Dictionary Learning for Intrinsic Motivation in Reinforcement Learning. - Renye Yan; Zhe Wu; Yuan Zhan; Pin Tao; Zongwei Wang 001; Yimao Cai; Junliang Xing (IJCNN, 2023)

PAE: Reinforcement Learning from External Knowledge for Efficient Exploration. - Zhe Wu; Haofei Lu; Junliang Xing; You Wu; Renye Yan; Yaozhong Gan; Yuanchun Shi (ICLR, 2024)

Reflective Policy Optimization. - Yaozhong Gan; Renye Yan; Zhe Wu; Junliang Xing (ICML, 2024)

Absorb What You Need: Accelerating Exploration via Valuable Knowledge Extraction. - You Wu; Zhe Wu; Renye Yan; Pin Tao; Junliang Xing (IJCNN, 2024)

Autoencoder Reconstruction Model for Long-Horizon Exploration. - Renye Yan; You Wu; Yaozhong Gan; Yunfan Yang; Zhaoke Yu; Zongxi Liu; Xin Zhang; Ling Liang; Yimao Cai (IJCNN, 2024)

Transductive Off-policy Proximal Policy Optimization. - Yaozhong Gan; Renye Yan; Xiaoyang Tan; Zhe Wu; Junliang Xing (CoRR, 2024)

The Exploration-Exploitation Dilemma Revisited: An Entropy Perspective. - Renye Yan; Yaozhong Gan; You Wu; Ling Liang; Junliang Xing; Yimao Cai; Ru Huang 001 (CoRR, 2024)

CopyLens: Dynamically Flagging Copyrighted Sub-Dataset Contributions to LLM Outputs. - Qichao Ma; Rui-Jie Zhu 003; Peiye Liu; Renye Yan; Fahong Zhang 004; Ling Liang; Meng Li; Zhaofei Yu; Zongwei Wang 001; Yimao Cai; Tiejun Huang 003 (CoRR, 2024)

AdaMemento: Adaptive Memory-Assisted Policy Optimization for Reinforcement Learning. - Renye Yan; Yaozhong Gan; You Wu; Junliang Xing; Ling Liang; Yeshang Zhu; Yimao Cai (CoRR, 2024)