Junlin Liu

works on

large language models 3 autonomous agents 1 benchmarking 1 co-evolution 1 context compression 1 contrastive learning 1 kv cache 1 long-context inference 1 long-horizon reasoning 1 memory selection 1 model efficiency 1 multi-step reasoning 1

From the 4 of 18 linked papers with an AI index.

activity

20242026

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cs.CE2025

Deep Reinforcement Learning in Factor Investment

Junlin Liu

Deep reinforcement learning has shown promise in trade execution, yet its use in low-frequency factor portfolio construction remains under-explored. A key obstacle is the high-dime…