Forward and bidirectional planning based on reinforcement learning and neural networks in a simulated robot.

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2684, Issue , 2003, Pages 179-200

  Baldassarre, Gianluca ^a  

^a UNIVERSITY OF ESSEX   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DYNAMIC PROGRAMMING; LEARNING SYSTEMS; MULTI AGENT SYSTEMS; NEURAL NETWORKS; NUMERICAL METHODS; REINFORCEMENT; ARTIFICIAL INTELLIGENCE; CHAINS; FORECASTING; INTELLIGENT BUILDINGS; INTELLIGENT SYSTEMS; PLANNING; ROBOT PROGRAMMING; STOCHASTIC SYSTEMS;

BIDIRECTIONAL PLANNING; PLANNING SYSTEMS; REINFORCEMENT LEARNING; SIMULATED ROBOTS;

ROBOTS; REINFORCEMENT LEARNING;

BIDIRECTIONAL PLANNING; BUILDING INTELLIGENT SYSTEMS; LITERATURE REVIEWS; NETWORK PLANNERS; PREDICTION CHAINS; REACTIVE BEHAVIOR; STOCHASTIC PATH FINDING; TRAINED NEURAL NETWORKS;

EID: 23144433803     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-45002-3_11     Document Type: Conference Paper

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