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Exploring market power using deep reinforcement learning for intelligent
  bidding strategies

Exploring market power using deep reinforcement learning for intelligent bidding strategies

8 November 2020
Alexander J. M. Kell
M. Forshaw
A. Mcgough
ArXivPDFHTML

Papers citing "Exploring market power using deep reinforcement learning for intelligent bidding strategies"

5 / 5 papers shown
Title
The impact of online machine-learning methods on long-term investment
  decisions and generator utilization in electricity markets
The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets
Alexander J. M. Kell
A. Mcgough
M. Forshaw
12
5
0
07 Mar 2021
Long-term electricity market agent based model validation using genetic
  algorithm based optimization
Long-term electricity market agent based model validation using genetic algorithm based optimization
Alexander J. M. Kell
M. Forshaw
S. McGough
9
13
0
17 May 2020
ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for
  Long-Term Electricity Planning
ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning
Alexander J. M. Kell
M. Forshaw
S. McGough
15
12
0
22 Oct 2019
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
178
3,777
0
18 Nov 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
132
13,174
0
09 Sep 2015
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