Action planning and control under uncertainty emerge through a desirability-driven competition between parallel encoding motor plans.
Vince EnachescuPaul R. SchraterStefan SchaalVassilios N. ChristopoulosPublished in: PLoS Comput. Biol. (2021)
Keyphrases
- sensing actions
- plan execution
- planning problems
- control system
- control rules
- plan generation
- solving planning problems
- automated planning
- planning process
- initial state
- action selection
- external events
- situation calculus
- planning domains
- classical planning
- optimal plans
- heuristic search
- action sequences
- plan recognition
- speed control
- control signals
- induction motor
- state space
- parallel processing
- macro actions
- planning under uncertainty
- control strategy
- dynamic environments
- partial order planning
- motor learning
- decision theoretic
- partial observability
- belief space
- motor control
- planning systems
- decision theory
- deterministic domains
- reactive planning
- derived predicates
- reinforcement learning
- stochastic domains
- case based planning
- temporal planning
- robotic manipulator
- master slave