| Ravi Prakash Putchala, Vincent Naveen Morris, Rajesh Kazhanchi, Laxminarayanan Raman, and Shashank Shekhar. kavayaH: A trading agent developed for TAC-02. Technical report, Oracle India, 2002. |
....on model free policy learning, which does account for other agents bidding behavior but without formulating explicit price predictions. Agent Ref Approach Form Notes ATTa c [9] machine learning prob boosting cuhk historical priceline 10 game running median harami historical prob kavayaH [8] machine learning point neural net livingagents [4] historical point PackaTAC historical prob RoxyBot historical prob sics historical priceline SouthamptonTAC [6] historical point classification to reference categories Thalis historical ( point survey incomplete UMBCTAC historical point ....
....prices, and # closing time of each hotel room. Since the hotel closing times are unknown at game start, this predictor induces a distribution over price predictions, based on the distribution of hotel closing sequences. This distribution constitutes ATTa c s initial price prediction. kavayaH [8] predicts initial hotel prices using neural networks trained via backpropagation. The agent has a separate network for each hotel. The output of each network is one of a discrete set of prices, where the choice set for each hotel (type, day) was specified by kavayaH s designers based on historical ....
Ravi Prakash Putchala, Vincent Naveen Morris, Rajesh Kazhanchi, Laxminarayanan Raman, and Shashank Shekhar. kavayaH: A trading agent developed for TAC-02. Technical report, Oracle India, 2002.
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