research
∙
01/29/2023
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits
In this paper, we study the problem of optimal data collection for polic...
share
research
∙
07/12/2022
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
In real-world robotics applications, Reinforcement Learning (RL) agents ...
research
∙
07/19/2021
Decoupling Exploration and Exploitation in Reinforcement Learning
Intrinsic rewards are commonly applied to improve exploration in reinfor...
research
∙
08/15/2020
Reducing Sampling Error in Batch Temporal Difference Learning
Temporal difference (TD) learning is one of the main foundations of mode...
research
∙
08/04/2020
An Imitation from Observation Approach to Sim-to-Real Transfer
The sim to real transfer problem deals with leveraging large amounts of ...
research
∙
12/23/2019
Learning an Interpretable Traffic Signal Control Policy
Signalized intersections are managed by controllers that assign right of...
research
∙
06/04/2018
Importance Sampling Policy Evaluation with an Estimated Behavior Policy
In reinforcement learning, off-policy evaluation is the task of using da...
research
∙
09/26/2013
