Going into Orbit: Massively Parallelizing Episodic Reinforcement Learning.
Jan OberstJohann BonneauPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- function approximation
- parallel processing
- markov decision processes
- state space
- control problems
- parallel computing
- reinforcement learning algorithms
- direct policy search
- robotic control
- massively parallel
- orbit determination
- optimal policy
- transfer learning
- policy search
- autonomous learning
- stochastic approximation
- model free
- temporal difference
- data mining
- machine learning
- multi agent reinforcement learning
- temporal difference learning
- parallel computers
- distributed memory
- information retrieval
- learning algorithm
- dynamic programming
- case study
- multi agent
- optimal control
- multi agent systems
- artificial neural networks
- learning process
- markov chain
- active learning