AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents.
Jake GrigsbyLinxi FanYuke ZhuPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- multi agent
- adaptive behavior
- learning capabilities
- autonomous agents
- multiple agents
- action selection
- multi agent systems
- intelligent agents
- learning agents
- cooperative
- multiagent systems
- multiagent learning
- function approximation
- learning agent
- contextual information
- multi agent environments
- decision making
- machine learning
- software agents
- mobile agents
- multi agent decision making
- open environments
- context aware
- multi agent reinforcement learning
- partial observability
- markov decision processes
- evolutionary learning
- scalable video
- single agent
- global knowledge
- complex environments
- temporal difference
- agent receives
- decision theoretic