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Self-improving reactive agents based on reinforcement learning, planning and teaching from books.google.com
Abstract: "The purpose of this work is to investigate and evaluate different reinforcement learning frameworks using connectionist networks.
Self-improving reactive agents based on reinforcement learning, planning and teaching from books.google.com
... reinforcement learning and teaching , in : Proceedings AAAI - 91 , Anaheim , CA ( 1991 ) 781-786 . [ 46 ] L.J. Lin , Self - improvement based on reinforcement learning , planning ... improving reactive agents : case studies of reinforcement ...
Self-improving reactive agents based on reinforcement learning, planning and teaching from books.google.com
... Self - improving reactive agents based on reinforcement learning , planning , and teaching . Machine Learning , 8 ( 3 ) : 293–321 . Michie , D. , & Chambers , R. A. ( 1968 ) . BOXES : An experiment in adaptive control . In Dale , E ...
Self-improving reactive agents based on reinforcement learning, planning and teaching from books.google.com
... reinforcement learning with policy sketches. In: International ... Planning with abstract Markov decision processes. In: Twenty- Seventh ... Self-improving reactive agents based on reinforcement learning, plan- ning and teaching ...
Self-improving reactive agents based on reinforcement learning, planning and teaching from books.google.com
... learning algorithms for Markov decision processes. SIAM J. Control Opt. 38(1), 94–123 (1999) ... reinforcement learning. arXiv abs/1509.02971 (2015) Lin, L.J.: Self-improving reactive agents based on reinforcement learning, planning and ...
Self-improving reactive agents based on reinforcement learning, planning and teaching from books.google.com
... based reinforcement learning. In: IEEE International Conference on Robotics and Automation, vol. 4, pp. 3557–3564 ... Agents and Multia- gent Systems (May 2007) 7. Lin, L.-J.: Self-improving reactive agents based on reinforcement learning, ...
Self-improving reactive agents based on reinforcement learning, planning and teaching from books.google.com
... Self-improving reactive agents based on reinforcement learning, planning, and teaching. Machine Learning. Vol.8, pp.293-321. 7. R. Maclin and J. Shavlik, (1994). Incorporating advice into agents that learn from reinforcements. Proc. of ...
Self-improving reactive agents based on reinforcement learning, planning and teaching from books.google.com
... Planning . Morgan Kaufmann , Palo Alto Ca. ( 1990 ) Arkin R.C .: Behavior - Based Robotics . The MIT Press , Cambridge Ma . ( 1998 ) Baldassarre , G .: Planning with neural networks and reinforcement ... Self - organized formation of ...
Self-improving reactive agents based on reinforcement learning, planning and teaching from books.google.com
... reinforcement learning was used, which is limited to a discrete action space ... based control in high speed positioning: Experimental results. In ... Self-improving reactive agents based on reinforcement learning, planning and ...
Self-improving reactive agents based on reinforcement learning, planning and teaching from books.google.com
... based Machine Learning and Behaviour - based Robotics : A New Synthesis ... Agents with Classifier Systems " , in Proceedings of the 1994 IEEE ... Self - organisation and Selection in Evolution , Oxford University Press . 17. Lin ...