2025 Poster "partial observability" Papers
9 papers found
DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation
Jiangran Lyu, Ziming Li, Xuesong Shi et al.
ICCV 2025posterarXiv:2503.16806
10
citations
Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning
Xinran Li, Xiaolu Wang, Chenjia Bai et al.
ICLR 2025posterarXiv:2502.19717
Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability
Eline M. Bovy, Caleb Probine, Marnix Suilen et al.
NeurIPS 2025posterarXiv:2510.23744
On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning
Roman Belaire, Arunesh Sinha, Pradeep Varakantham
ICLR 2025poster
1
citations
Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability
Po-Chen Kuo, Han Hou, Will Dabney et al.
NeurIPS 2025posterarXiv:2510.22039
Quantifying Generalisation in Imitation Learning
Nathan Gavenski, Odinaldo Rodrigues
NeurIPS 2025posterarXiv:2509.24784
Real-World Reinforcement Learning of Active Perception Behaviors
Edward Hu, Jie Wang, Xingfang Yuan et al.
NeurIPS 2025posterarXiv:2512.01188
Stabilizing LTI Systems under Partial Observability: Sample Complexity and Fundamental Limits
Ziyi Zhang, Yorie Nakahira, Guannan Qu
NeurIPS 2025poster
1
citations
Trajectory-Class-Aware Multi-Agent Reinforcement Learning
Hyungho Na, Kwanghyeon Lee, Sumin Lee et al.
ICLR 2025posterarXiv:2503.01440
1
citations