NeurIPS 2022

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30 Results

Workshop		Learning in Factored Domains with Information-Constrained Visual Representations Tyler Malloy · Chris Sims · Tim Klinger · Matthew Riemer · Miao Liu · Gerald Tesauro
Workshop		Locally Constrained Representations in Reinforcement Learning Somjit Nath · Samira Ebrahimi Kahou
Poster	Tue 9:00	Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems Shicheng Liu · Minghui Zhu
Affinity Workshop	Mon 6:55	Contributed talk - (Paula Harder) - "Physics-Constrained Deep Learning for Climate Downscaling" Paula Harder
Poster	Tue 9:00	Policy Optimization with Linear Temporal Logic Constraints Cameron Voloshin · Hoang Le · Swarat Chaudhuri · Yisong Yue
Poster	Thu 14:00	Constrained GPI for Zero-Shot Transfer in Reinforcement Learning Jaekyeom Kim · Seohong Park · Gunhee Kim
Poster	Tue 14:00	A theory of weight distribution-constrained learning Weishun Zhong · Ben Sorscher · Daniel Lee · Haim Sompolinsky
Poster	Thu 14:00	Provably Efficient Model-Free Constrained RL with Linear Function Approximation Arnob Ghosh · Xingyu Zhou · Ness Shroff
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
Workshop		Stability Constrained Reinforcement Learning for Real-Time Voltage Control Jie Feng · Yuanyuan Shi · Guannan Qu · Steven Low · Anima Anandkumar · Adam Wierman
Poster	Wed 14:00	A Lagrangian Duality Approach to Active Learning Juan Elenter · Navid Naderializadeh · Alejandro Ribeiro
Poster	Wed 14:00	Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm Ashish K Jayant · Shalabh Bhatnagar