Causal Coordinated Concurrent Reinforcement Learning.
Tim TseIsaac ChanZhitang ChenPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- multi agent
- hierarchical reinforcement learning
- function approximation
- state space
- learning algorithm
- model free
- markov decision processes
- cooperative
- temporal difference
- reinforcement learning algorithms
- multi agent reinforcement learning
- machine learning
- temporal difference learning
- causal knowledge
- optimal policy
- learning problems
- optimal control
- causal models
- bayesian networks
- causal networks
- causal interactions
- concurrent execution
- robotic control
- data sets
- mutual exclusion
- causal reasoning
- partially observable
- mobile robot
- learning process
- multi agent systems
- data mining