Discrete Sequential Prediction of Continuous Actions for Deep RL.
Luke MetzJulian IbarzNavdeep JaitlyJames DavidsonPublished in: CoRR (2017)
Keyphrases
- continuous action
- action space
- continuous domains
- reinforcement learning
- continuous state
- policy search
- continuous state spaces
- action selection
- prediction accuracy
- continuous state and action spaces
- sequence prediction
- state space
- discrete space
- continuous data
- real valued
- continuous space
- discrete data
- markov decision processes
- continuous variables
- prediction algorithm
- mining sequential
- state and action spaces
- plan recognition
- grey prediction model
- situation calculus
- discrete variables
- prediction model
- discrete valued
- partially observable domains
- multiagent reinforcement learning
- continuous functions
- predicting future
- continuous valued
- state action
- prediction error
- function approximation
- machine learning
- reasoning about actions
- neural network
- model free
- optimal control
- optimal policy