Actor-critic reinforcement learning for bidding in bilateral negotiation.
Furkan ArslanReyhan AydoganPublished in: Turkish J. Electr. Eng. Comput. Sci. (2022)
Keyphrases
- actor critic
- reinforcement learning
- multi issue
- bilateral negotiation
- temporal difference
- trading agents
- reinforcement learning algorithms
- policy gradient
- approximate dynamic programming
- optimal control
- intelligent agents
- function approximation
- negotiation protocol
- neuro fuzzy
- agent negotiation
- gradient method
- policy iteration
- state space
- model free
- incomplete information
- multi party
- reinforcement learning methods
- autonomous agents
- supply chain management
- combinatorial auctions
- markov decision processes
- rl algorithms
- dynamic programming
- cooperative
- machine learning
- learning algorithm
- online auctions
- fixed point
- electronic commerce
- multi agent systems
- temporal difference learning
- trading strategies
- bidding strategies
- action selection
- supply chain
- policy gradient methods