offline rl
Country:
- North America > United States > Ohio (0.04)
- North America > United States > California > Los Angeles County > Long Beach (0.04)
- Europe > Austria (0.04)
- (5 more...)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.66)
Technology:
Country:
- Europe > United Kingdom > England > Oxfordshire > Oxford (0.04)
- Europe > Netherlands > South Holland > Delft (0.04)
Industry:
Country:
- Asia > China > Hong Kong (0.04)
- North America > United States (0.04)
Technology:
Country:
- Asia > China > Hong Kong (0.05)
- North America > United States (0.04)
Technology:
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Optimization (0.93)
- Information Technology > Artificial Intelligence > Natural Language (0.67)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.67)
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
Typically, deep RL algorithms learn a policy in an online trial-and-error fashion using millions to billions of data.
Country:
- Asia > Middle East > Jordan (0.04)
- North America > United States > Washington > King County > Seattle (0.04)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- (4 more...)
c056d6cf7b7108418f2b8c307dfaab02-Paper-Conference.pdf
Further, we are interested in algorithms that enjoy sample efficiency while leveraging (value) function approximation.
Country:
- North America > United States > Maryland > Baltimore (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia > Middle East > Jordan (0.04)
- Asia > Middle East > Israel (0.04)
Technology:
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL Y ang Yue
We also give unique insights into its effectiveness.
Country:
- North America > United States > Massachusetts (0.04)
- Asia > China (0.04)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.94)
- Information Technology > Artificial Intelligence > Representation & Reasoning (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.67)
8ffb4e3118280a66b192b6f06e0e2596-Paper-Conference.pdf
We make two surprising observations.
Country:
- North America > United States > California > Alameda County > Berkeley (0.04)
- Asia > Japan > Honshū > Chūbu > Ishikawa Prefecture > Kanazawa (0.04)
Genre:
- Research Report > New Finding (1.00)
- Research Report > Experimental Study (1.00)
Technology: