Editorial. - Efficient Reinforcement Learning through Symbiotic Evolution. - Linear Least-Squares Algorithms for Temporal Difference Learning. - Feature-Based Methods for Large Scale Dynamic Programming. - On the Worst-Case Analysis of Temporal-Difference Learning Algorithms. - Reinforcement Learning with Replacing Eligibility Traces. - Average Reward Reinforcement Learning: Foundations Algorithms and Empirical Results. - The Loss from Imperfect Value Functions in Expectation-Based and Minimax-Based Tasks. - The Effect of Representation and Knowledge on Goal-Directed Exploration with Reinforcement-Learning Algorithms. - Creating Advice-Taking Reinforcement Learners. - Technical Note. Language: English