2024 journal
Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization
Y Peng, G Chen, M Zhang, B Xue
Memetic Computing
Publications
12 peer-reviewed papers, 16 publications total, 2011-2024, 165+ citations.
2020 conference
Effective linear policy gradient search through primal-dual approximation
Y Peng, G Chen, M Zhang
Int. Joint Conf. on Neural Networks (IJCNN)
2019 thesis
Policy direct search for effective reinforcement learning
Y Peng
PhD Thesis, Victoria University of Wellington
2018 conference
Constrained Expectation-Maximization Methods for Effective Reinforcement Learning
G Chen, Y Peng, M Zhang
Int. Joint Conf. on Neural Networks (IJCNN)
2018 conference
NEAT for Large-Scale Reinforcement Learning through Evolutionary Feature Learning and Policy Gradient Search
Y Peng, G Chen, H Singh, M Zhang
Genetic and Evolutionary Computation Conference (GECCO)
2018 preprint
An Adaptive Clipping Approach for Proximal Policy Optimization
G Chen, Y Peng, M Zhang
arXiv preprint
2018 preprint
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles with Tsallis Entropy Regularization
G Chen, Y Peng, M Zhang
arXiv preprint
2017 conference
Effective Policy Gradient Search for Reinforcement Learning through NEAT based Feature Extraction
Y Peng, G Chen, M Zhang, Y Mei
Simulated Evolution and Learning (SEAL)
2017 conference
A Sandpile Model for Reliable Actor-Critic Reinforcement Learning
Y Peng, G Chen, M Zhang, S Pang
Int. Joint Conf. on Neural Networks (IJCNN)
2017 conference
Automated State Feature Learning for Actor-Critic Reinforcement Learning through NEAT
Y Peng, G Chen, S Holdaway, Y Mei, M Zhang
GECCO Companion
2017 conference
Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching
W Hardwick-Smith, Y Peng, G Chen, Y Mei, M Zhang
Australasian Joint Conf. on AI (AJCAI)
2016 conference
Generalized Compatible Function Approximation for Policy Gradient Search
Y Peng, G Chen, M Zhang, S Pang
Int. Conf. on Neural Information Processing (ICONIP)
2015 conference
A Federated Online Network Traffic Analysis Engine for Cybersecurity
S Pang, Y Peng, T Ban, D Inoue, A Sarrafzadeh
Int. Joint Conf. on Neural Networks (IJCNN)
2013 conference
Chunk incremental IDR/QR LDA learning
Y Peng, S Pang, G Chen, A Sarrafzadeh, T Ban, D Inoue
Int. Joint Conf. on Neural Networks (IJCNN)
2012 conference
Exploring Crude Oil Impacts to Oil Stocks through Graphical Computational Correlation Analysis
A Lai, L Song, Y Peng, P Zhang, Q Wang, S Pang
Int. Conf. on Neural Information Processing (ICONIP)
2011 thesis
Boosting performance of incremental IDR/QR LDA
Y Peng
Masters Thesis, Auckland University of Technology