Planning the path with Reinforcement Learning: Optimal Robot Motion Planning in RoboCup Small Size League Environments.
Mateus G. MachadoJoão G. MeloCleber ZanchettinPedro H. M. BragaPedro V. CunhaEdna Natividade da Silva BarrosHansenclever F. BassaniPublished in: CoRR (2024)
Keyphrases
- small size
- reinforcement learning
- motion planning
- optimal control
- dynamic programming
- goal state
- state space
- multi agent
- function approximation
- collision free
- poor quality
- optimal planning
- learning algorithm
- optimal path
- heuristic search
- humanoid robot
- optimal plans
- minimum cost
- action selection
- optimal solution
- reinforcement learning algorithms
- worst case
- control policy
- path finding
- stochastic domains
- real world
- robot soccer
- dynamic environments
- initial state
- markov decision processes
- shortest path
- model free
- domain independent
- multi robot