2024 "partial observability" Papers
9 papers found
A Sparsity Principle for Partially Observable Causal Representation Learning
Danru Xu, Dingling Yao, Sébastien Lachapelle et al.
ICML 2024poster
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence
Shengbo Wang, Ke Li
AAAI 2024paperarXiv:2312.03212
19
citations
FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning
Yonghyeon Jo, Sunwoo Lee, Junghyuk Yum et al.
AAAI 2024paperarXiv:2308.11272
14
citations
How to Explore with Belief: State Entropy Maximization in POMDPs
Riccardo Zamboni, Duilio Cirino, Marcello Restelli et al.
ICML 2024poster
Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise
Augusto Santos, Diogo Rente, Rui Seabra et al.
AAAI 2024paperarXiv:2312.05974
6
citations
Learning to Play Atari in a World of Tokens
Pranav Agarwal, Sheldon Andrews, Samira Ebrahimi Kahou
ICML 2024poster
Model-based Reinforcement Learning for Confounded POMDPs
Mao Hong, Zhengling Qi, Yanxun Xu
ICML 2024poster
Rethinking Transformers in Solving POMDPs
Chenhao Lu, Ruizhe Shi, Yuyao Liu et al.
ICML 2024poster
Task Planning for Object Rearrangement in Multi-Room Environments
Karan Mirakhor, Sourav Ghosh, Dipanjan Das et al.
AAAI 2024paperarXiv:2406.00451
2
citations