The Speculum2 is a driving robot for the Torcs (torcs.sourceforge.n et) racing game based on Support Vector Machines (implemented with libsvm). It learns to drive by analyzing a real player driving (supervised learning).
This video shows how Reinforcement Learning can be used for learning the gear shifting policy in TORCS (http://torcs.source forge.net/). The video is related to a research project developed at Politecnico di Milano (http://www.polimi.i t). More details can be found in http://home.dei.poli mi.it/loiacono/paper s/prete07thesis.pdf
Naive Reinforcement Learning applied to TORCS for learning a drafting behavior. This work is part of the Master Thesis work done by Alessandro Prete at Politecnico di Milano under the supervision of Pier Luca Lanzi, Daniele Loiacono and Alessandro Lazaric.
More information available at http://cig.dei.polim i.it
Naive Reinforcement Learning applied to TORCS for learning an overtaking behavior. This work is part of the Alessandro Prete's master thesis at Politecnico di Milano.
More information available at http://cig.dei.polim i.it
This video shows a typical outcome of an overtake attempt made by a scripted AI available in TORCS (http://torcs.source forge.net/). The video is related to a research project developed at Politecnico di Milano (http://www.polimi.i t). More details can be found in http://home.dei.poli mi.it/loiacono/paper s/prete07thesis.pdf
This video shows how Reinforcement Learning can be used for learning the optimal braking point in TORCS (http://torcs.source forge.net/). The video is related to a research project developed at Politecnico di Milano (http://www.polimi.i t). More details can be found in http://home.dei.poli mi.it/loiacono/paper s/prete07thesis.pdf
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This video shows how Reinforcement Learning can be used for learning a good overtaking strategy in TORCS (http://torcs.source forge.net/). The video is related to a research project developed at Politecnico di Milano (http://www.polimi.i t). More details can be found in http://home.dei.poli mi.it/loiacono/paper s/prete07thesis.pdf