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.