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- Titel:
DiAReL: Reinforcement Learning With Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Malmir, Mohammadhossein; Josifovski, Josip; Klarmann, Noah; Knoll, Alois
- Stichworte:
- Delays; Training; Robots; Inverse problems; Robustness; Heuristic algorithms; Uncertainty; Stochastic processes; Estimation; Markov decision processes; Disturbance observers (DOBs); Markov decision processes (MDPs); reinforcement learning (RL); robust control; sim2real transfer
- Zeitschriftentitel:
- IEEE Transactions on Control Systems Technology
- Jahr:
- 2026
- Band / Volume:
- 34
- Heft / Issue:
- 2
- Seitenangaben Beitrag:
- 1037-1043
- Volltext / DOI:
- doi:10.1109/tcst.2025.3634677
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