Paper "sample efficiency" Papers
10 papers found
Conference
Contrastive Representation for Interactive Recommendation
Jingyu Li, Zhiyong Feng, Dongxiao He et al.
AAAI 2025paperarXiv:2412.18396
Efficient Multi-Policy Evaluation for Reinforcement Learning
Shuze Daniel Liu, Claire Chen, Shangtong Zhang
AAAI 2025paperarXiv:2408.08706
2
citations
GLAM: Global-Local Variation Awareness in Mamba-based World Model
Qian He, Wenqi Liang, Chunhui Hao et al.
AAAI 2025paperarXiv:2501.11949
1
citations
Investigating Relational State Abstraction in Collaborative MARL
Sharlin Utke, Jeremie Houssineau, Giovanni Montana
AAAI 2025paperarXiv:2412.15388
1
citations
Kernel Learning for Sample Constrained Black-Box Optimization
Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury
AAAI 2025paperarXiv:2507.20533
When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning?
Tongzhou Mu, Zhaoyang Li, Stanisław Wiktor Strzelecki et al.
AAAI 2025paperarXiv:2412.13662
5
citations
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
Zizhao Wang, Caroline Wang, Xuesu Xiao et al.
AAAI 2024paperarXiv:2401.12497
9
citations
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
Guy Azran, Mohamad H Danesh, Stefano Albrecht et al.
AAAI 2024paperarXiv:2307.05209
2
citations
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward
Haoxin Lin, Hongqiu Wu, Jiaji Zhang et al.
AAAI 2024paperarXiv:2312.10642
3
citations
Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize
Sanket Shah, Bryan Wilder, Andrew Perrault et al.
AAAI 2024paperarXiv:2305.16830
20
citations