research
∙
09/06/2023
Robotic Table Tennis: A Case Study into a High Speed Learning System
We present a deep-dive into a real-world robotic learning system that, i...
share
research
∙
07/21/2023
Towards practical reinforcement learning for tokamak magnetic control
Reinforcement learning (RL) has shown promising results for real-time co...
research
∙
01/29/2023
Sample Efficient Deep Reinforcement Learning via Local Planning
The focus of this work is sample-efficient deep reinforcement learning (...
research
∙
01/17/2022
A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits
We study the non-stationary stochastic multi-armed bandit problem, where...
research
∙
08/12/2021
Efficient Local Planning with Linear Function Approximation
We study query and computationally efficient planning algorithms with li...
research
∙
02/25/2021
Improved Regret Bound and Experience Replay in Regularized Policy Iteration
In this work, we study algorithms for learning in infinite-horizon undis...
research
∙
02/11/2021
Optimization Issues in KL-Constrained Approximate Policy Iteration
Many reinforcement learning algorithms can be seen as versions of approx...
research
∙
12/09/2020
Neural Rate Control for Video Encoding using Imitation Learning
In modern video encoders, rate control is a critical component and has b...
research
∙
06/17/2020
A maximum-entropy approach to off-policy evaluation in average-reward MDPs
This work focuses on off-policy evaluation (OPE) with function approxima...
research
∙
03/31/2020
Robotic Table Tennis with Model-Free Reinforcement Learning
We propose a model-free algorithm for learning efficient policies capabl...
research
∙
02/08/2020
Provably Efficient Adaptive Approximate Policy Iteration
Model-free reinforcement learning algorithms combined with value functio...
research
∙
08/27/2019
Exploration-Enhanced POLITEX
We study algorithms for average-cost reinforcement learning problems wit...
research
∙
11/30/2018
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play
Training robots with physical bodies requires developing new methods and...
research
∙
06/19/2018
Online Linear Quadratic Control
We study the problem of controlling linear time-invariant systems with k...
research
∙
04/17/2018
Regret Bounds for Model-Free Linear Quadratic Control
Model-free approaches for reinforcement learning (RL) and continuous con...
research
∙
12/03/2014