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TacTex'13: a champion adaptive power trading agent

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781118029176openalex-snapshot

Approximate Dynamic Programming

inferredcites →https://doi.org/10.1007/s10994-013-5340-0openalex-snapshot

A reinforcement learning approach to autonomous decision-making in smart electricity markets

inferredcites →https://doi.org/10.1016/j.eneco.2013.04.015openalex-snapshot

Power TAC: A competitive economic simulation of the smart grid

inferredcites →https://doi.org/10.1023/a:1006559212014openalex-snapshot

Locally Weighted Learning

inferredcites →https://doi.org/10.1145/2133806.2133825openalex-snapshot

Putting the 'smarts' into the smart grid

inferredcites →https://doi.org/10.1145/544862.544885openalex-snapshot

Strategic sequential bidding in auctions using dynamic programming

inferredcites →https://doi.org/10.1257/0895330027175openalex-snapshot

The Trouble With Electricity Markets: Understanding California's Restructuring Disaster

inferredcites →https://doi.org/10.1609/aaai.v25i1.7810openalex-snapshot

Learned Behaviors of Multiple Autonomous Agents in Smart Grid Markets

inferredcites →https://doi.org/10.1609/aaai.v26i1.8169openalex-snapshot

Factored Models for Multiscale Decision-Making in Smart Grid Customers

inferredcites →https://doi.org/10.1609/aaai.v27i1.8479openalex-snapshot

Autonomous Agents in Future Energy Markets: The 2012 Power Trading Agent Competition

inferredcites →https://doi.org/10.1613/jair.1200openalex-snapshot

Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions

inferredcites →https://doi.org/10.2307/2291177openalex-snapshot

Markov Decision Processes: Discrete Stochastic Dynamic Programming.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Competitive Benchmarking: An IS Research Approach to Address Wicked Problems with Big Data and Analytics

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An Analysis of Power Trading Agent Competition 2014

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Trading Strategies of a Champion Agent in a Multiagent Smart Grid Simulation Platform

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Electric Vehicles: An Agent-Based Approach to Sustainability

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TugaTAC Broker: A Fuzzy Logic Adaptive Reasoning Agent for Energy Trading

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Analysis of the Effects of Storage Capabilities Integration on Balancing Mechanisms in Agent-Based Smart Grids

inferred← citeshttps://doi.org/10.1007/978-3-319-54229-4_10openalex-snapshot

Autonomous Power Trading Approaches of a Winner Broker

inferred← citeshttps://doi.org/10.1007/978-3-319-54229-4_3openalex-snapshot

Electricity Trading Agent for EV-enabled Parking Lots

inferred← citeshttps://doi.org/10.1007/978-3-319-54229-4_5openalex-snapshot

An Effective Broker for the Power TAC 2014

inferred← citeshttps://doi.org/10.1007/978-3-319-54229-4_8openalex-snapshot

On the Use of Off-the-Shelf Machine Learning Techniques to Predict Energy Demands of Power TAC Consumers

inferred← citeshttps://doi.org/10.1007/978-3-319-66553-5_7openalex-snapshot

Wholesale Bidding Approaches of an Autonomous Trading Agent in Electricity Markets

inferred← citeshttps://doi.org/10.1007/978-3-319-94580-4_18openalex-snapshot

AgentUDE17: A Genetic Algorithm to Optimize the Parameters of an Electricity Tariff in a Smart Grid Environment

inferred← citeshttps://doi.org/10.1007/s10458-016-9352-6openalex-snapshot

Efficiently detecting switches against non-stationary opponents

inferred← citeshttps://doi.org/10.1016/j.knosys.2016.12.008openalex-snapshot

A hybrid-learning based broker model for strategic power trading in smart grid markets

inferred← citeshttps://doi.org/10.1016/j.scs.2019.101590openalex-snapshot

A competitive and profitable multi-agent autonomous broker for energy markets

inferred← citeshttps://doi.org/10.1109/isgteurope.2014.7028942openalex-snapshot

Optimising market share and profit margin: SMDP-based tariff pricing under the smart grid paradigm

inferred← citeshttps://doi.org/10.1109/wi-iat.2015.108openalex-snapshot

GongBroker: A Broker Model for Power Trading in Smart Grid Markets

inferred← citeshttps://doi.org/10.1109/wi-iat.2015.30openalex-snapshot

A Winner Agent in a Smart Grid Simulation Platform

inferred← citeshttps://doi.org/10.1609/aaai.v29i1.9250openalex-snapshot

Aggregating Electric Cars to Sustainable Virtual Power Plants: The Value of Flexibility in Future Electricity Markets

inferred← citeshttps://doi.org/10.1609/aaai.v30i1.10012openalex-snapshot

Autonomous Electricity Trading Using Time-of-Use Tariffs in a Competitive Market

inferred← citeshttps://doi.org/10.1609/aaai.v34i02.5568openalex-snapshot

Bidding in Smart Grid PDAs: Theory, Analysis and Strategy

inferred← citeshttps://doi.org/10.2298/csis181010040gopenalex-snapshot

CrocodileAgent 2018: Robust agent-based mechanisms for power trading in competitive environments

inferred← citeshttps://doi.org/10.23919/ipec.2018.8507562openalex-snapshot

A Dynamic Battery Charging Approach for Energy Trading in the Smart Grid

inferred← citeshttps://doi.org/10.24193/subbi.2020.2.03openalex-snapshot

A View on Deep Reinforcement Learning in Imperfect Information Games

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Deep Reinforcement Learning from Self-Play in No-limit Texas Hold'em Poker

inferred← citeshttps://doi.org/10.24963/ijcai.2018/23openalex-snapshot

Bidding in Periodic Double Auctions Using Heuristics and Dynamic Monte Carlo Tree Search

inferred← citeshttps://doi.org/10.24963/ijcai.2018/79openalex-snapshot

Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid

inferred← citeshttps://doi.org/10.25300/misq/2016/40.2.09openalex-snapshot

A Multiagent Competitive Gaming Platform to Address Societal Challenges1

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Reinforcement learning for personalization: A systematic literature review

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The strategy and architecture of a winner broker in a renowned agent-based smart grid competition

inferred← citeshttps://doi.org/10.48550/arxiv.1603.01121openalex-snapshot

Deep Reinforcement Learning from Self-Play in Imperfect-Information Games

inferred← citeshttps://doi.org/10.48550/arxiv.1603.01840openalex-snapshot

Hierarchical Decision Making In Electricity Grid Management

inferred← citeshttps://doi.org/10.5463/thesis.390openalex-snapshot

Learning to Behave

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Factored MDPS for Optimal Prosumer Decision-Making

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TAC AdX'14: Autonomous Agents for Realtime Ad Exchange

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Bidding in Non-Stationary Energy Markets

inferred← citeshttps://doi.org/10.5555/2772879.2773410openalex-snapshot

An Efficient Knowledge Transfer Solution to a Novel SMDP Formalization of a Broker's Decision Problem

inferred← citeshttps://doi.org/10.5555/2936924.2937044openalex-snapshot

Load Forecasting in a Smart Grid through Customer Behaviour Learning Using L1-Regularized Continuous Conditional Random Fields

inferred← citeshttps://doi.org/10.5555/2936924.2937045openalex-snapshot

An MDP-Based Winning Approach to Autonomous Power Trading: Formalization and Empirical Analysis

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Bidding Strategy for Periodic Double Auctions Using Monte Carlo Tree Search

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Agent Strategy Summarization

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Recurrent Deep Multiagent Q-Learning for Autonomous Agents in Future Smart Grid

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