|
Poster
|
Wed 14:00
|
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm
Ashish K Jayant · Shalabh Bhatnagar
|
|
|
Poster
|
Tue 9:00
|
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data
Abhishek Roy · Krishnakumar Balasubramanian · Saeed Ghadimi
|
|
|
Poster
|
Tue 14:00
|
Near-Optimal Sample Complexity Bounds for Constrained MDPs
Sharan Vaswani · Lin Yang · Csaba Szepesvari
|
|
|
Poster
|
Thu 14:00
|
Redeeming intrinsic rewards via constrained optimization
Eric Chen · Zhang-Wei Hong · Joni Pajarinen · Pulkit Agrawal
|
|
|
Workshop
|
|
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning
Buyun Liang · Tim Mitchell · Ju Sun
|
|
|
Poster
|
|
Learning to Constrain Policy Optimization with Virtual Trust Region
Thai Hung Le · Thommen Karimpanal George · Majid Abdolshah · Dung Nguyen · Kien Do · Sunil Gupta · Svetha Venkatesh
|
|
|
Workshop
|
|
Accelerated Algorithms for Monotone Inclusion and Constrained Nonconvex-Nonconcave Min-Max Optimization
Yang Cai · Argyris Oikonomou · Weiqiang Zheng
|
|
|
Affinity Workshop
|
|
Preference-Aware Constrained Multi-Objective Bayesian Optimization
Alaleh Ahmadianshalchi · Syrine Belakaria · Janardhan Rao Doppa
|
|
|
Poster
|
Tue 14:00
|
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization
Tesi Xiao · Krishnakumar Balasubramanian · Saeed Ghadimi
|
|
|
Workshop
|
|
Fast Implicit Constrained Optimization of Non-decomposable Objectives for Deep Networks
Yatong Chen · Abhishek Kumar · Yang Liu · Ehsan Amid
|
|
|
Poster
|
Tue 14:00
|
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
Ruida Zhou · Tao Liu · Dileep Kalathil · P. R. Kumar · Chao Tian
|
|
|
Poster
|
Wed 9:00
|
Constrained Langevin Algorithms with L-mixing External Random Variables
Yuping Zheng · Andrew Lamperski
|
|
