TacTex’13: A Champion Adaptive Power Trading Agent
Authors: Daniel Urieli, Peter Stone
AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | This paper describes the constituent components of TACTEX 13 and examines its success through analysis of competition results and subsequent controlled experiments. |
| Researcher Affiliation | Academia | Daniel Urieli and Peter Stone Dept. of Computer Science The University of Texas at Austin Austin, TX 78712 USA {urieli,pstone}@cs.utexas.edu |
| Pseudocode | Yes | Algorithm 1 Online RL Wholesale Market Strategy; Algorithm 2 Utility-based Tariff Market Strategy; Algorithm 3 Estimate Utility(tariff); Algorithm 4 Predict Change In Subscriptions(tariff) |
| Open Source Code | No | The paper states that Power TAC is an “open-source simulation platform,” but it does not provide any statement or link indicating that the source code for TACTEX 13 itself is open-source or publicly available. |
| Open Datasets | No | The paper mentions that “Power TAC uses real weather data and forecasts” and that games are “generated by loading a set of random-number seeds that initialize the random number generators of the simulation, and a weather data file.” However, it does not provide specific access information (link, citation for dataset) for a publicly available dataset used for TACTEX's training or evaluation. |
| Dataset Splits | No | The paper does not explicitly provide training/validation/test dataset splits for the evaluation of TACTEX 13. It describes competition scenarios (2-agent, 4-agent, 7-agent games) and controlled experiments (round-robin tournament), which serve as evaluation settings rather than formal dataset splits. |
| Hardware Specification | No | The paper does not specify any hardware used for running the experiments or for the Power TAC simulation platform. |
| Software Dependencies | No | The paper mentions Power TAC is an “open-source simulation platform” but does not provide specific version numbers for any software dependencies used in the implementation or experimentation of TACTEX 13. |
| Experiment Setup | Yes | TACTEX's wholesale market bidding strategy: 'The number 6 was chosen to trade off quick learning with reasonable density estimations.' TACTEX's tariff market strategy: 'The length of the horizon over which utility is estimated is one week (7 24 = 168 timeslots)'. 'generating a set of 100 fixed-rate candidate tariffs'. Controlled experiments: 'each given combination of agents was tested over a fixed set of 200 full games. Each game takes about 2 hours of real-time (about 60 days of simulated time), and was generated by loading a set of random-number seeds that initialize the random number generators of the simulation, and a weather data file'. |