Stabilizing Transformers for Reinforcement Learning.
Emilio ParisottoH. Francis SongJack W. RaeRazvan PascanuÇaglar GülçehreSiddhant M. JayakumarMax JaderbergRaphaël Lopez KaufmanAidan ClarkSeb NouryMatthew BotvinickNicolas HeessRaia HadsellPublished in: ICML (2020)
Keyphrases
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- state space
- markov decision processes
- multi agent reinforcement learning
- optimal control
- real time
- multi agent
- evolutionary algorithm
- dynamic programming
- information retrieval
- action selection
- transition model
- robotic control
- stochastic approximation
- function approximators
- action space
- learning agent
- adaptive control
- model free
- learning classifier systems
- transfer learning
- search engine
- learning algorithm
- databases