Scaling laws for single-agent reinforcement learning.

Jacob Hilton Jie Tang John Schulman

Published in: CoRR (2023)

Keyphrases

single agent
reinforcement learning
multi agent
multi agent systems
learning agents
state space
dynamic environments
window search
multi agent coordination
action space

multiple agents
decision problems
function approximation
learning agent
temporal difference
model free
multi agent environments
learning algorithm
optimal policy
markov decision processes

stochastic games
action selection
path finding
dec pomdps
machine learning
optimal control
reinforcement learning algorithms
cooperative
special case
genetic algorithm

multiagent learning
policy gradient
markov decision problems
reinforcement learning methods
objective function
partially observable markov decision processes
search space
evolutionary algorithm
dynamical systems