Skip to yearly menu bar Skip to main content


Search All 2022 Events
 

30 Results

<<   <   Page 2 of 3   >   >>
Poster
Constrained Update Projection Approach to Safe Policy Optimization
Long Yang · Jiaming Ji · Juntao Dai · Linrui Zhang · Binbin Zhou · Pengfei Li · Yaodong Yang · Gang Pan
Affinity Workshop
Physics-Constrained Deep Learning for Climate Downscaling
Paula Harder · Qidong Yang · Venkatesh Ramesh · Prasanna Sattigeri · Alex Hernandez-Garcia · Campbell Watson · Daniela Szwarcman · David Rolnick
Workshop
An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning
Danil Provodin · Pratik Gajane · Mykola Pechenizkiy · Maurits Kaptein
Poster
Wed 9:00 Learning Physics Constrained Dynamics Using Autoencoders
Tsung-Yen Yang · Justinian Rosca · Karthik Narasimhan · Peter J Ramadge
Workshop
An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning
Danil Provodin · Pratik Gajane · Mykola Pechenizkiy · Maurits Kaptein
Workshop
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning
Buyun Liang · Tim Mitchell · Ju Sun
Workshop
Constrained Imitation Q-learning with Earth Mover’s Distance reward
WENYAN Yang · Nataliya Strokina · Joni Pajarinen · Joni-kristian Kamarainen
Poster
Tue 14:00 Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach
Ziyi Chen · Shaocong Ma · Yi Zhou
Poster
Thu 9:00 DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning
Quan Vuong · Aviral Kumar · Sergey Levine · Yevgen Chebotar
Poster
Wed 14:00 Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability
Whiyoung Jung · Myungsik Cho · Jongeui Park · Youngchul Sung
Poster
Wed 14:00 Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
Andreas Besginow · Markus Lange-Hegermann
Poster
Thu 14:00 Redeeming intrinsic rewards via constrained optimization
Eric Chen · Zhang-Wei Hong · Joni Pajarinen · Pulkit Agrawal