Latent Plans for Task-Agnostic Offline Reinforcement Learning.
Erick Rosete-BeasOier MeesGabriel KalweitJoschka BoedeckerWolfram BurgardPublished in: CoRL (2022)
Keyphrases
- reinforcement learning
- function approximation
- deterministic domains
- real time
- latent variables
- multi agent
- machine learning
- automated planning
- dynamic programming
- learning algorithm
- multi agent reinforcement learning
- search algorithm
- plan recognition
- transfer learning
- macro actions
- partially observable
- temporal difference
- optimal control
- supervised learning
- model free
- reinforcement learning algorithms
- learning capabilities
- planning problems
- latent variable models
- temporal difference learning
- learning problems
- case based planning
- policy search
- markov decision processes
- optimal policy