Continual World: A Robotic Benchmark For Continual Reinforcement Learning
–Neural Information Processing Systems
Evaluation of CL methods is challenging.
Neural Information Processing Systems
Aug-18-2025, 17:30:06 GMT
- Country:
- Africa > Ethiopia
- Addis Ababa > Addis Ababa (0.04)
- Asia
- Japan > Honshū
- Kansai > Osaka Prefecture > Osaka (0.04)
- Middle East > Jordan (0.04)
- Japan > Honshū
- Europe
- Austria (0.04)
- France > Hauts-de-France
- Germany > Bavaria
- Upper Bavaria > Munich (0.04)
- Poland
- Lesser Poland Province > Kraków (0.04)
- Masovia Province > Warsaw (0.04)
- Portugal (0.04)
- Spain > Catalonia
- Barcelona Province > Barcelona (0.04)
- Sweden > Stockholm
- Stockholm (0.04)
- United Kingdom > England
- Greater London > London (0.04)
- Oxfordshire > Oxford (0.04)
- North America
- Canada > British Columbia
- Vancouver (0.04)
- United States
- California
- Los Angeles County > Long Beach (0.14)
- San Diego County > San Diego (0.04)
- San Francisco County > San Francisco (0.14)
- Santa Clara County > Mountain View (0.04)
- Hawaii > Honolulu County
- Honolulu (0.04)
- Louisiana > Orleans Parish
- New Orleans (0.04)
- Nevada (0.04)
- Utah > Salt Lake County
- Salt Lake City (0.04)
- Washington > King County
- Seattle (0.04)
- California
- Canada > British Columbia
- Africa > Ethiopia
- Genre:
- Research Report > New Finding (0.46)
- Industry:
- Education (0.68)
- Leisure & Entertainment > Games
- Computer Games (0.46)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning
- Neural Networks > Deep Learning (0.68)
- Reinforcement Learning (1.00)
- Robots (1.00)
- Vision (1.00)
- Machine Learning
- Information Technology > Artificial Intelligence