HLRS: A Deep Reinforcement Learning-Based Hero Recommendation System for MOBA Games.
Huicong BianQin LuPublished in: SMC (2023)
Keyphrases
- reinforcement learning
- action sets
- learning agents
- reinforcement learning agents
- function approximation
- game design
- computer games
- temporal difference learning
- state space
- nash equilibria
- game playing
- game theory
- robotic control
- reinforcement learning algorithms
- game theoretic
- recommendation systems
- learning problems
- collaborative filtering
- learning algorithm
- nash equilibrium
- video games
- markov decision processes
- optimal policy
- model free
- temporal difference
- context aware
- weighted majority
- monte carlo tree search
- multiagent learning
- games played
- coalitional games
- serious games
- machine learning
- perfect information
- real robot
- game based learning
- educational games
- multi agent
- neural network