II.
LibraryProcess overview
Reference · livelib-process:robotics-simulation--rl-robot-control
specializations/robotics-simulation/rl-robot-control overview
Reinforcement Learning for Robot Control - Train RL agent for robot control tasks using simulation including environment setup, algorithm selection, reward design, training, and sim-to-real transfer.
Attributes
displayName
specializations/robotics-simulation/rl-robot-control
description
Reinforcement Learning for Robot Control - Train RL agent for robot control tasks using
simulation including environment setup, algorithm selection, reward design, training, and sim-to-real
transfer.
libraryPath
library/specializations/robotics-simulation/rl-robot-control.js
specialization
robotics-simulation
references
- - Stable Baselines3: https://stable-baselines3.readthedocs.io/
- - Sim-to-Real Locomotion: https://arxiv.org/abs/1804.10332
- - OpenAI Gym: https://sites.google.com/view/simtoreal
example
const result = await orchestrate('specializations/robotics-simulation/rl-robot-control', {
projectName: 'quadruped_locomotion',
taskType: 'locomotion',
rlAlgorithm: 'ppo'
});
usesAgents
- ml-robotics-engineer
- gazebo-simulation-expert
- simulation-test-engineer
Outgoing edges
lib_applies_to_domain1
- domain:robotics·DomainRobotics
lib_belongs_to_specialization1
- specialization:robotics-simulation·Specialization
lib_implements_workflow1
- workflow:simulation-validation-cycle·WorkflowSimulation Validation Cycle
lib_involves_role1
- role:research-engineer·RoleResearch Engineer
lib_requires_skill_area2
- skill-area:motion-planning·SkillAreaMotion Planning
- skill-area:sensor-fusion·SkillAreaSensor Fusion
Incoming edges
None.