|
Poster
|
Thu 14:00
|
Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space
Jonatha Anselmi · Bruno Gaujal · Louis-Sébastien Rebuffi
|
|
|
Workshop
|
|
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes
Min Zhang · Hongyao Tang · Jianye Hao · YAN ZHENG
|
|
|
Poster
|
Tue 14:00
|
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction
Dilip Arumugam · Satinder Singh
|
|
|
Poster
|
Thu 14:00
|
Bayesian Risk Markov Decision Processes
Yifan Lin · Yuxuan Ren · Enlu Zhou
|
|
|
Workshop
|
|
A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process
Fuyang Li · Jiying Zhang · Xi Xiao · bin zhang · Dijun Luo
|
|
|
Workshop
|
|
Finding Safe Zones of Markov Decision Processes Policies
Lee Cohen · Yishay Mansour · Michal Moshkovitz
|
|
|
Workshop
|
|
Finding Safe Zones of Markov Decision Processes Policies
Michal Moshkovitz · Lee Cohen · Yishay Mansour
|
|
|
Poster
|
Wed 9:00
|
Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback
Yan Dai · Haipeng Luo · Liyu Chen
|
|
|
Poster
|
Wed 14:00
|
Hardness in Markov Decision Processes: Theory and Practice
Michelangelo Conserva · Paulo Rauber
|
|
|
Poster
|
|
Semi-infinitely Constrained Markov Decision Processes
Liangyu Zhang · Yang Peng · Wenhao Yang · Zhihua Zhang
|
|
|
Poster
|
Wed 14:00
|
Robust Imitation via Mirror Descent Inverse Reinforcement Learning
Dong-Sig Han · Hyunseo Kim · Hyundo Lee · JeHwan Ryu · Byoung-Tak Zhang
|
|
|
Poster
|
Thu 14:00
|
Recursive Reinforcement Learning
Ernst Moritz Hahn · Mateo Perez · Sven Schewe · Fabio Somenzi · Ashutosh Trivedi · Dominik Wojtczak
|
|
