research
∙
01/30/2023
SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search
Despite the popularity of policy gradient methods, they are known to suf...
share
research
∙
09/28/2022
SoftTreeMax: Policy Gradient with Tree Search
Policy-gradient methods are widely used for learning control policies. T...
research
∙
05/30/2022
Reinforcement Learning with a Terminator
We present the problem of reinforcement learning with exogenous terminat...
research
∙
01/28/2022
Planning and Learning with Adaptive Lookahead
The classical Policy Iteration (PI) algorithm alternates between greedy ...
research
∙
10/13/2021
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning
We consider the problem of using expert data with unobserved confounders...
research
∙
07/04/2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction
Tree Search (TS) is crucial to some of the most influential successes in...
research
∙
02/23/2017
Automatic Representation for Lifetime Value Recommender Systems
Many modern commercial sites employ recommender systems to propose relev...
research
∙
02/23/2017
Consistent On-Line Off-Policy Evaluation
The problem of on-line off-policy evaluation (OPE) has been actively stu...
research
∙
09/17/2015
Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis
We consider the off-policy evaluation problem in Markov decision process...
research
∙
08/14/2015
Emphatic TD Bellman Operator is a Contraction
Recently, SuttonMW15 introduced the emphatic temporal differences (ETD) ...
research
∙
02/11/2015
Off-policy evaluation for MDPs with unknown structure
Off-policy learning in dynamic decision problems is essential for provid...
research
∙
02/08/2015
Contextual Markov Decision Processes
We consider a planning problem where the dynamics and rewards of the env...
research
∙
08/12/2012
