Achieving Diverse Objectives with AI-driven Prices in Deep Reinforcement Learning Multi-agent Markets.
Panayiotis DanassisAris Filos-RatsikasBoi FaltingsPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- multi agent
- market equilibrium
- market data
- artificial intelligence
- electricity markets
- bidding strategies
- machine learning
- market clearing
- human level intelligence
- function approximation
- market participants
- online markets
- learning algorithm
- model free
- reinforcement learning algorithms
- multi agent environments
- cooperative
- market conditions
- spot market
- search costs
- pricing strategies
- temporal difference
- multiagent systems
- electronic commerce
- multi agent reinforcement learning
- software agents
- intelligent agents
- optimal policy
- multi agent systems
- state space
- market prices
- competitive market
- ai systems
- single agent
- long run
- case based reasoning
- expert systems
- dynamic programming
- network effects
- learning agents
- markov decision processes
- budget constraints
- double auction
- reinforcement learning agents
- dynamic pricing
- markov decision process
- agent oriented
- autonomous agents
- resource allocation
- intelligent systems