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The Cognitive Dialogue: A New Architecture for Perception and Cognition
Rooftop-Aware Emergency Landing Planning for Small Unmanned Aircraft Systems
Quantum Reinforcement Learning in Changing Environment
The Role of Thermodynamics in the Future Research Directions in Control and Learning
Mixed Density Reinforcement Learning Methods for Approximate Dynamic Programming
Analyzing and Mitigating Link-Flooding DoS Attacks Using Stackelberg Games and Adaptive Learning
Learning and Decision Making for Complex Systems Subjected to Uncertainties: A Stochastic Distribution Control Approach
Optimal Adaptive Control of Partially Unknown Linear Continuous-time Systems with Input and State Delay
Gradient Methods Solve the Linear Quadratic Regulator Problem Exponentially Fast
Architectures, Data Representations and Learning Algorithms: New Directions at the Confluence of Control and Learning
Reinforcement Learning for Optimal Feedback Control and Multiplayer Games
Fundamental Principles of Design for Reinforcement Learning Algorithms Course Titles
Long-Term Impacts of Fair Machine Learning
Learning-based Model Reduction for Partial Differential Equations with Applications to Thermo-Fluid Models' Identification, State Estimation, and Stabilization
CESMA: Centralized Expert Supervises Multi-Agents, for Decentralization
A Unified Framework for Reinforcement Learning and Sequential Decision Analytics
Trading Utility and Uncertainty: Applying the Value of Information to Resolve the Exploration-Exploitation Dilemma in Reinforcement Learning
Multi-Agent Reinforcement Learning: Recent Advances, Challenges, and Applications
Reinforcement Learning Applications, An Industrial Perspective
A Hybrid Dynamical Systems Perspective of Reinforcement Learning
Bounded Rationality and Computability Issues in Learning, Perception, Decision-Making, and Games Panagiotis Tsiotras
Mixed Modality Learning
Computational Intelligence in Uncertainty Quantification for Learning Control and Games
Reinforcement Learning Based Optimal Stabilization of Unknown Time Delay Systems Using State and Output Feedback
Robust Autonomous Driving with Humans in the Loop
Boundedly Rational Reinforcement Learning for Secure Control.
Rooftop-Aware Emergency Landing Planning for Small Unmanned Aircraft Systems
Quantum Reinforcement Learning in Changing Environment
The Role of Thermodynamics in the Future Research Directions in Control and Learning
Mixed Density Reinforcement Learning Methods for Approximate Dynamic Programming
Analyzing and Mitigating Link-Flooding DoS Attacks Using Stackelberg Games and Adaptive Learning
Learning and Decision Making for Complex Systems Subjected to Uncertainties: A Stochastic Distribution Control Approach
Optimal Adaptive Control of Partially Unknown Linear Continuous-time Systems with Input and State Delay
Gradient Methods Solve the Linear Quadratic Regulator Problem Exponentially Fast
Architectures, Data Representations and Learning Algorithms: New Directions at the Confluence of Control and Learning
Reinforcement Learning for Optimal Feedback Control and Multiplayer Games
Fundamental Principles of Design for Reinforcement Learning Algorithms Course Titles
Long-Term Impacts of Fair Machine Learning
Learning-based Model Reduction for Partial Differential Equations with Applications to Thermo-Fluid Models' Identification, State Estimation, and Stabilization
CESMA: Centralized Expert Supervises Multi-Agents, for Decentralization
A Unified Framework for Reinforcement Learning and Sequential Decision Analytics
Trading Utility and Uncertainty: Applying the Value of Information to Resolve the Exploration-Exploitation Dilemma in Reinforcement Learning
Multi-Agent Reinforcement Learning: Recent Advances, Challenges, and Applications
Reinforcement Learning Applications, An Industrial Perspective
A Hybrid Dynamical Systems Perspective of Reinforcement Learning
Bounded Rationality and Computability Issues in Learning, Perception, Decision-Making, and Games Panagiotis Tsiotras
Mixed Modality Learning
Computational Intelligence in Uncertainty Quantification for Learning Control and Games
Reinforcement Learning Based Optimal Stabilization of Unknown Time Delay Systems Using State and Output Feedback
Robust Autonomous Driving with Humans in the Loop
Boundedly Rational Reinforcement Learning for Secure Control.