Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract).
Yuchen XiaoJoshua HoffmanTian XiaChristopher AmatoPublished in: AAAI (2020)
Keyphrases
- reinforcement learning
- macro actions
- multi agent
- primitive actions
- real robot
- learning process
- state space
- markov decision processes
- mobile robot
- function approximation
- robot navigation
- learning environment
- reinforcement learning algorithms
- learning algorithm
- temporal abstractions
- optimal policy
- model free
- machine learning
- optimal control
- probabilistic model
- learning agent
- single agent
- partially observable
- artificial neural networks
- dynamic programming
- temporal difference
- multiple agents
- natural language
- function approximators
- decision trees