Heat it up: using robo-gym to warm-up deep reinforcement learning algorithms (2024)
- Authors:
- USP affiliated authors: CUNHA, THIAGO BOAVENTURA - EESC ; ALVES, MATHEUS APARECIDO DO CARMO - EESC ; PEDRO, GABRIEL DUARTE GONÇALVES - EESC
- Unidade: EESC
- DOI: 10.1109/LARS64411.2024.10786424
- Subjects: APRENDIZAGEM PROFUNDA; ROBÔS; SISTEMAS DINÂMICOS; ENGENHARIA MECÂNICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway, NJ, USA
- Date published: 2024
- Conference titles: IEEE Latin American Robotics Symposium - LARS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BERMUDEZ, Gabriel et al. Heat it up: using robo-gym to warm-up deep reinforcement learning algorithms. 2024, Anais.. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2024. Disponível em: http://dx.doi.org/10.1109/LARS64411.2024.10786424. Acesso em: 28 dez. 2025. -
APA
Bermudez, G., Alves, M. A. do C., Pedro, G. D. G., & Cunha, T. B. (2024). Heat it up: using robo-gym to warm-up deep reinforcement learning algorithms. In . Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/LARS64411.2024.10786424 -
NLM
Bermudez G, Alves MA do C, Pedro GDG, Cunha TB. Heat it up: using robo-gym to warm-up deep reinforcement learning algorithms [Internet]. 2024 ;[citado 2025 dez. 28 ] Available from: http://dx.doi.org/10.1109/LARS64411.2024.10786424 -
Vancouver
Bermudez G, Alves MA do C, Pedro GDG, Cunha TB. Heat it up: using robo-gym to warm-up deep reinforcement learning algorithms [Internet]. 2024 ;[citado 2025 dez. 28 ] Available from: http://dx.doi.org/10.1109/LARS64411.2024.10786424 - Performance comparison of different localization methods for legged robots in indoor environments
- Performance comparison of common low-level state estimators for legged robots
- Editorial: variable impedance control and learning in complex interaction scenarios: challenges and opportunities
- Impedance control for bio-inspired robots
- Optimizing inner force control loop for PMLSM using reinforcement learning
- Effective and unburdensome forecast of highway traffic flow with adaptive computing
- Load-bearing assessment for safe locomotion of quadruped robots on collapsing terrain
- Benchmarking force control algorithms
- Enhancing robotic learning with locosim, ROS, docker, and jupyter
- Toward personal affordable exoskeletons with force control capabilities
Informações sobre o DOI: 10.1109/LARS64411.2024.10786424 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
Heat_It_Up_Using_Robo-gym... |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
