Reinforcement Learning
Support RL pilots for robot control, planning, and game-based tasks.
New Horizon provides model reinforcement learning training services, delivering training environments, reward design explanations, training curves, and evaluation reports.
Last updated: 2026-08-12 · New Horizon Digital Outsourcing Team
Explore implementation guides and case studies to understand input requirements, technical approaches, delivered assets, and methods for evaluating outcomes.
Engineering Notes
Define observations, actions, rewards, termination conditions, and reset logic, and lock simulator and task versions. Isaac Lab supports robotics learning workflows such as reinforcement learning; the accuracy of specific models requires independent validation.
Save configurations, random seeds, checkpoints, and training logs. Record reward components and task completion to identify policies that exploit reward loopholes without actually completing the task.
Test success rates, constraint violations, and failure modes under initial states and disturbances not used in training. Rising returns do not establish engineering task acceptance; sim-to-real transfer requires a separate safety and validation plan.
Related standards and technical documentation for solution selection and implementation.
Describe your stage objectives and constraints (without classified details), and we will provide scope recommendations and a deliverables list.
