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

Thu 14:00

Bayesian Risk Markov Decision Processes
Yifan Lin · Yuxuan Ren · Enlu Zhou

Poster

Tue 14:00

Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction
Dilip Arumugam · Satinder Singh

Workshop

Finding Safe Zones of Markov Decision Processes Policies
Michal Moshkovitz · Lee Cohen · Yishay Mansour

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

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