Offline reinforcement learning with representations for actions.

Xingzhou Lou Qiyue Yin Junge Zhang Chao Yu Zhaofeng He Nengjie Cheng Kaiqi Huang

Published in: Inf. Sci. (2022)

Keyphrases

reinforcement learning
perceptual aliasing
action selection
partially observable
action space
reward function
function approximation
state and action spaces
partial observability
multiagent reinforcement learning

partially observable domains
state space
real time
learned knowledge
learning agent
function approximators
temporal difference
agent receives
machine learning
dynamic programming

model free
decision theoretic
learning classifier systems
state action
action models
learning process
robotic control
optimal policy
agent learns
conceptual representation

multiagent systems
initially unknown
markov decision processes
learning problems
human actions
situation calculus
policy iteration
plan recognition
symbolic representation
goal directed