Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex. - Chao Gao 012; Martin Müller 003; Ryan Hayward (IJCAI, 2017)

Adversarial Policy Gradient for Alternating Markov Games. - Chao Gao 012; Martin Müller 003; Ryan Hayward (ICLR (Workshop), 2018)

Three-Head Neural Network Architecture for Monte Carlo Tree Search. - Chao Gao 012; Martin Müller 003; Ryan Hayward (IJCAI, 2018)

A transferable neural network for Hex. - Chao Gao 012; Siqi Yan; Ryan Hayward; Martin Müller 003 (ICGA J., 2018)

Move Prediction Using Deep Convolutional Neural Networks in Hex. - Chao Gao 012; Ryan Hayward; Martin Müller 003 (IEEE Trans. Games, 2018)

Hex 2018: MoHex3HNN over DeepEzo. - Chao Gao 012; Kei Takada; Ryan Hayward (ICGA J., 2019)

UNICO: Unified Hardware Software Co-Optimization for Robust Neural Network Acceleration. - Bahador Rashidi; Chao Gao 012; Shan Lu; Zhisheng Wang; Chunhua Zhou; Di Niu; Fengyu Sun (MICRO, 2023)

Monte Carlo Tree Search in the Presence of Transition Uncertainty. - Farnaz Kohankhaki; Kiarash Aghakasiri; Hongming Zhang 003; Ting-Han Wei; Chao Gao 012; Martin Müller 003 (AAAI, 2024)

Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration. - Hongming Zhang 003; Chenjun Xiao; Chao Gao 012; Han Wang; Bo Xu 002; Martin Müller 003 (NeurIPS, 2024)

β-DQN: Improving Deep Q-Learning By Evolving the Behavior. - Hongming Zhang 003; Fengshuo Bai; Chenjun Xiao; Chao Gao 012; Bo Xu 002; Martin Müller 003 (AAMAS, 2025)

ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control. - Ehsan Futuhi; Shayan Karimi; Chao Gao 012; Martin Müller 003 (Trans. Mach. Learn. Res., 2025)

Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning. - Ke Sun 013; Hongming Zhang 003; Jun Jin 001; Chao Gao 012; Xi Chen; Wulong Liu; Linglong Kong (CoRR, 2026)