Tracking the Race Between Deep Reinforcement Learning and Imitation Learning.
Timo P. GrosDaniel HöllerJörg HoffmannVerena WolfPublished in: QEST (2020)
Keyphrases
- imitation learning
- reinforcement learning
- function approximation
- state space
- reinforcement learning methods
- particle filter
- multi agent
- machine learning
- reinforcement learning algorithms
- real time
- dynamic programming
- learning problems
- supervised learning
- learning algorithm
- transfer learning
- model free
- function approximators
- control problems
- markov decision processes
- temporal difference
- learning classifier systems
- probabilistic model
- learning process
- image sequences
- maximum margin
- control strategies
- video sequences
- knowledge representation
- optimal policy
- multi modal
- relational databases
- semi supervised