most citedOvercoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2025

Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach

Chenbei Lu, Zaiwei Chen, Tongxin Li +2

Traditional reinforcement learning (RL) assumes the agents make decisions based on Markov decision processes (MDPs) with one-step transition models. In many real-world applications…

math.OC2025

Maximizing the Value of Predictions in Control: Accuracy Is Not Enough

Yiheng Lin, Christopher Yeh, Zaiwei Chen +1

We study the value of stochastic predictions in online optimal control with random disturbances. Prior work provides performance guarantees based on prediction error but ignores th…

cs.LG2024★ 2 cited

Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization

Chenbei Lu, Laixi Shi, Zaiwei Chen +2

Reinforcement Learning (RL) algorithms are known to suffer from the curse of dimensionality, which refers to the fact that large-scale problems often lead to exponentially high sam…