A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots.
Nicolai A. LynnerupLaura NollingRasmus HasleJohn HallamPublished in: CoRR (2019)
Keyphrases
- reinforcement learning algorithms
- real world
- reinforcement learning
- model free
- state space
- reinforcement learning problems
- markov decision processes
- temporal difference
- learning algorithm
- policy search
- function approximation
- eligibility traces
- mobile robot
- multi robot
- cooperative
- reinforcement learning methods
- partially observable environments
- data sets
- data mining
- policy gradient
- dynamic environments
- particle swarm optimization
- higher order
- function approximators
- training data
- machine learning
- multiagent reinforcement learning
- reward shaping