research
∙
07/13/2022
Hindsight Learning for MDPs with Exogenous Inputs
We develop a reinforcement learning (RL) framework for applications that...
share
research
∙
06/05/2021
Heuristic-Guided Reinforcement Learning
We provide a framework for accelerating reinforcement learning (RL) algo...
research
∙
06/01/2021
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Offline RL
We study session-based recommendation scenarios where we want to recomme...
research
∙
07/16/2020
Provably Good Batch Reinforcement Learning Without Great Exploration
Batch reinforcement learning (RL) is important to apply RL algorithms to...
research
∙
04/26/2020
Improved Image Wasserstein Attacks and Defenses
Robustness against image perturbations bounded by a ℓ_p ball have been w...
research
∙
11/17/2019
Working Memory Graphs
Transformers have increasingly outperformed gated RNNs in obtaining new ...
research
∙
10/02/2019
Learning Calibratable Policies using Programmatic Style-Consistency
We study the important and challenging problem of controllable generatio...
research
∙
05/12/2019
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations
Assemblies of modular subsystems are being pressed into service to perfo...
research
∙
04/17/2019
Off-Policy Policy Gradient with State Distribution Correction
We study the problem of off-policy policy optimization in Markov decisio...
research
∙
04/05/2019
Multi-Preference Actor Critic
Policy gradient algorithms typically combine discounted future rewards w...
research
∙
02/12/2019
NAIL: A General Interactive Fiction Agent
Interactive Fiction (IF) games are complex textual decision making probl...
research
∙
12/01/2016
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed
The ability to perform effective off-policy learning would revolutionize...
research
∙
05/16/2016
Off-policy evaluation for slate recommendation
This paper studies the evaluation of policies that recommend an ordered ...
research
∙
02/17/2016
Recommendations as Treatments: Debiasing Learning and Evaluation
Most data for evaluating and training recommender systems is subject to ...
research
∙
02/09/2015
