Reinforcement Learning
"Reinforcement learning is learning what to do – how to map situations to actions – so as to maximize a numerical reward signal. The learner is not told which actions to take, as in most forms of machine learning, but instead must discover which actions yield the most reward by trying them."
– Sutton, Richard S. and Andrew G. Barto. Reinforcement Learning: An Introduction. (1.1). MIT Press, Cambridge, MA, 1998.
Country:
- North America > Canada > Ontario > Toronto (0.14)
- North America > United States > New York > New York County > New York City (0.04)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- (4 more...)
Industry:
- Health & Medicine (0.49)
- Law > Civil Rights & Constitutional Law (0.33)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Communications (0.67)
- Information Technology > Data Science > Data Mining > Big Data (0.46)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.46)
Country:
- North America > Canada > Ontario > Toronto (0.14)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- North America > United States > Wisconsin > Dane County > Madison (0.04)
- (3 more...)
Industry:
- Health & Medicine (0.48)
- Law > Civil Rights & Constitutional Law (0.39)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Data Science > Data Mining > Big Data (0.48)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.46)
AdaptiveDiscretizationforModel-Based ReinforcementLearning
Neural Information Processing Systems
Ouralgorithm isbasedonoptimistic one-stepvalueiteration extended to maintain an adaptive discretization of the space. From atheoretical perspective we provide worst-case regret bounds for our algorithm which are competitivecompared tothestate-of-the-art model-based algorithms.
Country:
- North America > United States (0.04)
- North America > Cuba (0.04)
- North America > Canada > British Columbia > Metro Vancouver Regional District > Vancouver (0.04)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
Country:
- Asia > China > Beijing > Beijing (0.04)
- North America > United States > Montana (0.04)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
- Information Technology > Artificial Intelligence > Robots > Manipulation (0.86)
Country:
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia > Middle East > Jordan (0.04)
- Europe > Switzerland > Vaud > Lausanne (0.04)
Genre:
- Research Report > New Finding (0.46)
- Overview (0.46)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
- Information Technology > Data Science > Data Mining (0.93)
UnderstandingDeepNeuralFunctionApproximation inReinforcementLearningviaϵ-GreedyExploration
Neural Information Processing Systems
This problem setting is motivated by the successful deep Q-networks (DQN) framework that falls in this regime.
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.96)
- Information Technology > Artificial Intelligence > Representation & Reasoning (0.70)
Country:
- North America > United States > California > Los Angeles County > Long Beach (0.04)
- North America > Canada (0.04)
- Europe > France (0.04)
- Asia > Japan (0.04)
Technology:
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning (0.69)
- Information Technology > Data Science > Data Mining > Big Data (0.46)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.31)
Country:
- North America > Canada > Quebec > Montreal (0.15)
- Asia > Japan > Honshū > Tōhoku > Iwate Prefecture > Morioka (0.04)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
Genre:
- Research Report (0.46)
- Instructional Material (0.46)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.68)
Country:
- North America > United States > California > Los Angeles County > Los Angeles (0.04)
- Asia > Middle East > Jordan (0.04)
- North America > United States > California > Santa Clara County > Mountain View (0.04)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.94)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.85)