Discovering neural policies to drive behaviour by integrating deep reinforcement learning agents with biological neural networks.
Chenguang LiGabriel KreimanSharad RamanathanPublished in: Nat. Mac. Intell. (2024)
Keyphrases
- reinforcement learning agents
- neural network
- dynamic environments
- network architecture
- biologically plausible
- reinforcement learning
- state abstraction
- feed forward
- multi agent
- transfer learning
- artificial neural networks
- associative memory
- neural network model
- genetic algorithm
- multi agent environments
- biologically inspired
- function approximators
- semi supervised
- cooperative
- fitted q iteration