1 citations · 1 across the 4 of their papers we have counts for
4 papers
Scaling Self-Evolving Agents via Parametric Memory
Tao Ren, Weiyao Luo, Hui Yang +8
Existing memory-augmented LLM agents store past experience exclusively in prompt space, as textual summaries or retrieved passages, while keeping model parameters frozen throughout…
Deep Reinforcement Learning for Solving Management Problems: Towards A Large Management Mode
Jinyang Jiang, Xiaotian Liu, Tao Ren +5
We introduce a deep reinforcement learning (DRL) approach for solving management problems including inventory management, dynamic pricing, and recommendation. This DRL approach has…
RiskMiner: Discovering Formulaic Alphas via Risk Seeking Monte Carlo Tree Search
Tao Ren, Ruihan Zhou, Jinyang Jiang +3
The formulaic alphas are mathematical formulas that transform raw stock data into indicated signals. In the industry, a collection of formulaic alphas is combined to enhance modeli…
AlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problems
Ruihan Zhou, L. Jeff Hong, Yijie Peng
We introduce AlphaRank, an artificial intelligence approach to address the fixed-budget ranking and selection (R&S) problems. We formulate the sequential sampling decision as a Mar…