Skeleton-level control for multi-agent simulation through deep reinforcement learning.
Guillermo Elias AlonsoXiaogang JinPublished in: Comput. Animat. Virtual Worlds (2022)
Keyphrases
- multi agent simulation
- reinforcement learning
- multi agent
- control problems
- optimal control
- robot control
- robotic control
- function approximation
- control method
- control system
- multi agent reinforcement learning
- model free
- binary images
- control strategies
- learning process
- control policy
- dynamic programming
- state space
- reinforcement learning algorithms
- temporal difference
- action selection
- adaptive control
- medial axis
- lower level
- gray scale
- shape analysis
- data acquisition