MIRA Lab
MIRA Lab
People
Publications
News
Courses
Courses Spring 2020
Courses Spring 2021
Admission
Admission 2021
Admission 2022
Photos
Social Media
Contact Us
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method
December 2020
Qi Zhou
,
Yufei Kuang
,
Zherui Qiu
,
Houqiang Li
,
Jie Wang
PDF
Code
Type
Conference paper
Publication
Thirty-fourth Conference on Neural Information Processing Systems
Related
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization
Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems
A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models
A Multi-Task Learning Formulation for Survival Analysis
Cite
×