Reinforcement Learning with Neural Radiance Fields.
Danny DriessIngmar SchubertPete FlorenceYunzhu LiMarc ToussaintPublished in: NeurIPS (2022)
Keyphrases
- lighting conditions
- reinforcement learning
- illumination conditions
- fitted q iteration
- neural network
- function approximation
- network architecture
- bio inspired
- neural model
- multi agent
- computer vision
- state space
- markov decision processes
- reinforcement learning algorithms
- temporal difference
- dynamic programming
- artificial neural networks
- multi agent reinforcement learning
- biologically plausible
- model free
- nonlinear predictive control
- neural fuzzy
- robotic control
- learning classifier systems
- biologically inspired
- neural network model
- learning process
- artificial intelligence
- machine learning