Mix&Match - Agent Curricula for Reinforcement Learning.
Wojciech Marian CzarneckiSiddhant M. JayakumarMax JaderbergLeonard HasencleverYee Whye TehSimon OsinderoNicolas HeessRazvan PascanuPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- multi agent
- action selection
- learning agent
- intelligent agents
- autonomous agents
- multi agent systems
- learning agents
- function approximation
- agent model
- multiagent systems
- partially observable
- markov decision process
- reinforcement learning algorithms
- multiple agents
- reward function
- learning capabilities
- agent systems
- state space
- state abstraction
- multi agent environments
- agent receives
- decision making
- state action
- learning algorithm
- reinforcement learning agents
- multi agent reinforcement learning
- dynamic environments
- software agents
- reward shaping
- temporal difference
- exploration strategy
- multiagent learning
- autonomous learning
- single agent
- multiagent reinforcement learning
- computer science
- model free
- action space
- markov decision processes
- agent architecture
- learning environment
- decision theoretic
- dynamic programming
- optimal control
- pedagogical agents