Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability.
Shayegan OmidshafieiJason PazisChristopher AmatoJonathan P. HowJohn VianPublished in: ICML (2017)
Keyphrases
- multi agent reinforcement learning
- multi task
- partial observability
- learning agent
- learning tasks
- reinforcement learning
- multi agent
- learning problems
- transfer learning
- learning algorithm
- partially observable
- cooperative
- planning problems
- machine learning
- solving problems
- belief state
- partially observable markov decision processes
- multi agent systems
- learning capabilities
- machine learning algorithms
- state space
- feature selection
- markov decision process
- learning process
- planning domains
- learning mechanism
- autonomous agents
- learning experience