4 citations · 4 across the 3 of their papers we have counts for
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cs.LG2026
Scalable In-Context Reinforcement Learning with Recurrent Algorithm Distillation
Yuanqing Ma, Zhenrui Zheng, Chenjun Xiao
Algorithm Distillation (AD) has demonstrated the remarkable ability of Transformers to perform in-context reinforcement learning without explicit weight updates. However, capturing…
cs.LG2025
Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies
Yi Ma, Hongyao Tang, Chenjun Xiao +4
In recent years, the expansion of neural network models and training data has driven remarkable progress in deep learning, particularly in computer vision and natural language proc…
cs.LG2023★ 4 cited
Rethinking Decision Transformer via Hierarchical Reinforcement Learning
Yi Ma, Chenjun Xiao, Hebin Liang +1
Decision Transformer (DT) is an innovative algorithm leveraging recent advances of the transformer architecture in reinforcement learning (RL). However, a notable limitation of DT…