Chen, Y., Schomaker, L. & Cruz, F., 20-Nov-2024, AI 2024: Advances in Artificial Intelligence - 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Proceedings. Gong, M., Song, Y., Koh, Y. S., Xiang, W. & Wang, D. (eds.). Springer, p. 52-64 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15443 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

All (7) publications

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Y. (Yifei) Chen

Publications

Apf+: Boosting adaptive-potential function reinforcement learning methods with a W-shaped network for high-dimensional games

Beyond Value Estimation: Adaptive Potential Functions For Reinforcement Learning

Boosting Reinforcement Learning Algorithms in Continuous Robotic Reaching Tasks using Adaptive Potential Functions

Boosting Reinforcement Learning Algorithms in Continuous Robotic Reaching Tasks Using Adaptive Potential Functions

Improving Proximal Policy Optimization Algorithm in Interactive Multi-Agent Systems

An Investigation Into the Effect of the Learning Rate on Overestimation Bias of Connectionist Q-learning

Reinforcement Learning with Potential Functions Trained to Discriminate Good and Bad States