Distributional Successor Features Enable Zero-Shot Policy Optimization
–Neural Information Processing Systems
Intelligent agents must be generalists, capable of quickly adapting to various tasks.
Neural Information Processing Systems
Feb-18-2026, 10:42:50 GMT
- Country:
- Africa > Ethiopia
- Addis Ababa > Addis Ababa (0.04)
- Asia
- Japan > Honshū
- Kansai > Osaka Prefecture > Osaka (0.04)
- Singapore > Central Region
- Singapore (0.04)
- Japan > Honshū
- Europe
- North America
- Canada > British Columbia
- Vancouver (0.04)
- United States
- Hawaii > Honolulu County
- Honolulu (0.04)
- Louisiana > Orleans Parish
- New Orleans (0.04)
- Maryland > Baltimore (0.04)
- Texas > Travis County
- Austin (0.04)
- Hawaii > Honolulu County
- Canada > British Columbia
- Oceania > Australia
- New South Wales > Sydney (0.04)
- Queensland > Brisbane (0.04)
- Africa > Ethiopia
- Genre:
- Research Report > Experimental Study (1.00)
- Workflow (0.67)
- Industry:
- Information Technology (0.46)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning
- Learning Graphical Models > Directed Networks
- Bayesian Learning (0.46)
- Neural Networks (0.68)
- Reinforcement Learning (1.00)
- Statistical Learning (1.00)
- Learning Graphical Models > Directed Networks
- Natural Language > Large Language Model (0.65)
- Representation & Reasoning
- Optimization (0.68)
- Uncertainty > Bayesian Inference (0.46)
- Robots (1.00)
- Machine Learning
- Information Technology > Artificial Intelligence