{ "item_title" : "Reinforcement Learning", "item_author" : [" Marco Wiering", "Martijn Van Otterlo "], "item_description" : "Continous State and Action Spaces.- Relational and First-Order Knowledge Representation.- Hierarchical Approaches.- Predictive Approaches.- Multi-Agent Reinforcement Learning.- Partially Observable Markov Decision Processes (POMDPs).- Decentralized POMDPs (DEC-POMDPs).- Features and Function Approximation.- RL as Supervised Learning (or batch learning).- Bounds and complexity.- RL for Games.- RL in Robotics.- Policy Gradient Techniques.- Least Squares Value Iteration.- Models and Model Induction.- Model-based RL.- Transfer Learning in RL.- Using of and extracting Knowledge in RL.- Biological or Psychological Background.- Evolutionary Approaches.- Closing chapter, prospects, future issues.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/64/227/644/364227644X_b.jpg", "price_data" : { "retail_price" : "439.00", "online_price" : "439.00", "our_price" : "439.00", "club_price" : "439.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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