Reinforcement Learning
RL experts dla optimization, robotics i autonomous systems.
Nasze podejście
Implementujemy RL algorithms dla complex decision-making, game playing, robotics i process optimization.
Policy Optimization
Advanced RL algorithms dla optimal decision making.
Zakres prac:
- •PPO, SAC algorithms
- •Custom reward engineering
- •Multi-agent RL
- •Hierarchical RL
Simulation Environments
Custom simulation environments dla RL training.
Zakres prac:
- •Gym environments
- •Unity ML-Agents
- •Real-world transfer
- •Sim-to-real
Stack Technologiczny
Stable-Baselines3RLlibGymUnity ML-AgentsMuJoCo
Realizacje
Robotic Control System
RL-based robot arm control with 99% success rate
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