Chao Gao

According to our database, Chao Gao authored at least 12 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning.

Ke Sun, Hongming Zhang, Jun Jin, Chao Gao, Xi Chen, Wulong Liu, Linglong Kong

CoRR, March, 2026

2025

ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control.

Ehsan Futuhi, Shayan Karimi, Chao Gao, Martin Müller

Trans. Mach. Learn. Res., 2025

β-DQN: Improving Deep Q-Learning By Evolving the Behavior.

Hongming Zhang, Fengshuo Bai, Chenjun Xiao, Chao Gao, Bo Xu, Martin Müller

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration.

Hongming Zhang, Chenjun Xiao, Chao Gao, Han Wang, Bo Xu, Martin Müller

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Monte Carlo Tree Search in the Presence of Transition Uncertainty.

Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao Gao, Martin Müller

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

UNICO: Unified Hardware Software Co-Optimization for Robust Neural Network Acceleration.

Bahador Rashidi, Chao Gao, Shan Lu, Zhisheng Wang, Chunhua Zhou, Di Niu, Fengyu Sun

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

2019

Hex 2018: MoHex3HNN over DeepEzo.

Chao Gao, Kei Takada, Ryan Hayward

ICGA J., 2019

2018

Move Prediction Using Deep Convolutional Neural Networks in Hex.

Chao Gao, Ryan Hayward, Martin Müller

IEEE Trans. Games, 2018

A transferable neural network for Hex.

Chao Gao, Siqi Yan, Ryan Hayward, Martin Müller

ICGA J., 2018

Three-Head Neural Network Architecture for Monte Carlo Tree Search.

Chao Gao, Martin Müller, Ryan Hayward

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Adversarial Policy Gradient for Alternating Markov Games.

Chao Gao, Martin Müller, Ryan Hayward

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex.

Chao Gao, Martin Müller, Ryan Hayward

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017