Emergence of Collective Open-Ended Exploration from Decentralized Meta-Reinforcement Learning.
Richard BornemannGautier HamonEleni NisiotiClément Moulin-FrierPublished in: CoRR (2023)
Keyphrases
- open ended
- reinforcement learning
- active exploration
- collective intelligence
- exploration strategy
- multi agent
- action selection
- model based reinforcement learning
- learning outcomes
- function approximation
- autonomous learning
- exploratory search
- state space
- learning algorithm
- markov decision processes
- peer to peer
- inquiry learning
- distributed systems
- multiple choice
- collective behavior
- continuous state
- exploration exploitation tradeoff
- dynamic programming
- multi agent systems
- learning environment
- face recognition
- machine learning