research
∙
07/13/2023
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement
We explore the methodology and theory of reward-directed generation via ...
share
research
∙
10/30/2022
Representation Learning for General-sum Low-rank Markov Games
We study multi-agent general-sum Markov games with nonlinear function ap...
research
∙
06/05/2022
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization
Directed Evolution (DE), a landmark wet-lab method originated in 1960s, ...
research
∙
02/10/2022
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory
Off-Policy Evaluation (OPE) serves as one of the cornerstones in Reinfor...
research
∙
01/31/2022
Optimal Estimation of Off-Policy Policy Gradient via Double Fitted Iteration
Policy gradient (PG) estimation becomes a challenge when we are not allo...
research
∙
05/03/2021
Learning Good State and Action Representations via Tensor Decomposition
The transition kernel of a continuous-state-action Markov decision proce...
research
∙
02/17/2021
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
Policy gradient gives rise to a rich class of reinforcement learning (RL...
research
∙
05/05/2019
