Reinforcement Learning with Neural Radiance Fields.

Danny Driess Ingmar Schubert Pete Florence Yunzhu Li Marc Toussaint

Published 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