Statements (69)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Person
|
| gptkbp:academicAdvisor |
gptkb:David_A._McAllester
|
| gptkbp:affiliation |
gptkb:University_of_Massachusetts_Amherst
|
| gptkbp:author |
gptkb:Richard_S._Sutton
|
| gptkbp:awards |
IEEE Fellow
|
| gptkbp:birthYear |
1943
|
| gptkbp:community |
Autonomous_Learning_Agents
|
| gptkbp:contribution |
Development of Temporal-Difference Learning
Development of Actor-Critic Methods Development of Batch Reinforcement Learning Development of Deep Reinforcement Learning Development of Hierarchical Reinforcement Learning Development of Model-Based Reinforcement Learning Development of Multi-Agent Reinforcement Learning Development of Nonlinear Control Methods Development of Policy Gradient Methods Development of Q-Learning Development of Reward Shaping Techniques Development of Safe Reinforcement Learning Development_of_Bayesian_Methods_in_RL Development_of_Benchmarking_in_RL Development_of_Cognitive_Robotics_in_RL Development_of_Collaboration_in_RL Development_of_Community_Building_in_RL Development_of_Computational_Neuroscience_in_RL Development_of_Curriculum_Learning_in_RL Development_of_Efficiency_in_AI_in_RL Development_of_Ethical_AI_in_RL Development_of_Evolutionary_Algorithms_in_RL Development_of_Explainable_AI_in_RL Development_of_Exploration_Strategies Development_of_Fairness_in_AI_in_RL Development_of_Function_Approximation_in_RL Development_of_Fuzzy_Logic_in_RL Development_of_Game_Theory_Applications_in_RL Development_of_Human-Robot_Interaction_in_RL Development_of_Interdisciplinary_Research_in_RL Development_of_Inverse_Reinforcement_Learning Development_of_Neuroscience_Applications_in_RL Development_of_Online_Learning_in_RL Development_of_Open_Source_in_RL Development_of_Performance_Metrics_in_RL Development_of_Privacy_in_AI_in_RL Development_of_Robotics_Applications_in_RL Development_of_Robustness_in_AI_in_RL Development_of_Scalability_in_AI_in_RL Development_of_Security_in_AI_in_RL Development_of_Social_Learning_in_RL Development_of_Standardization_in_RL Development_of_Statistical_Learning_in_RL Development_of_Stochastic_Control_Methods Development_of_Transfer_Learning_in_RL Development_of_Trust_in_AI_in_RL Development_of_Cognitive_Science_Applications_in_RL |
| gptkbp:field |
Artificial Intelligence
|
| https://www.w3.org/2000/01/rdf-schema#label |
Andrew G. Barto
|
| gptkbp:influencedBy |
gptkb:Marvin_Minsky
|
| gptkbp:knownFor |
Reinforcement Learning
|
| gptkbp:nationality |
American
|
| gptkbp:profession |
Computer_Scientist
|
| gptkbp:publications |
Reinforcement Learning: An Introduction
A Survey of Reinforcement Learning Learning to Act using Real-Time Dynamic Programming Adaptive_Dynamic_Programming_and_Reinforcement_Learning |
| gptkbp:releaseYear |
1990
1998 2003 2004 |
| gptkbp:researchInterest |
Machine Learning
|