Deep Deterministic Policy Gradient for Navigation of Mobile Robots in Simulated Environments. - Junior Costa de Jesus; Jair Augusto Bottega; Marco Antônio De Souza Leite Cuadros; Daniel Fernando Tello Gamarra (ICAR, 2019)

Deep Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles. - Ricardo B. Grando; Junior Costa de Jesus; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2020)

Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Nicolas P. Bortoluzzi; Pedro M. Pinheiro; Armando Alves Neto; Paulo Lilles Jorge Drews Junior (ICRA, 2021)

Deep Deterministic Policy Gradient for Navigation of Mobile Robots. - Junior Costa de Jesus; Jair Augusto Bottega; Marco Antônio De Souza Leite Cuadros; Daniel Fernando Tello Gamarra (J. Intell. Fuzzy Syst., 2021)

Soft Actor-Critic for Navigation of Mobile Robots. - Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Ricardo Bedin Grando; Marco Antônio De Souza Leite Cuadros; Daniel Fernando Tello Gamarra (J. Intell. Robotic Syst., 2021)

Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles. - Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Ricardo B. Grando; Rodrigo da Silva Guerra; Paulo Lilles Drews Jr. (IROS, 2022)

Virtual Reality Platform to Develop and Test Applications on Human-Robot Social Interaction. - Jair Augusto Bottega; Raul Steinmetz; Alisson Henrique Kolling; Victor Augusto Kich; Junior Costa de Jesus; Ricardo Bedin Grando; Daniel Fernando Tello Gamarra (LARS/SBR/WRE, 2022)

Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep Reinforcement Learning Through Environmental Generalization. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Pedro M. Pinheiro; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2022)

Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Pedro M. Pinheiro; Rodrigo da Silva Guerra; Paulo Lilles Drews Jr. (LARS/SBR/WRE, 2022)

Deep Reinforcement Learning Using a Low-Dimensional Observation Filter for Visual Complex Video Game Playing. - Victor Augusto Kich; Junior Costa de Jesus; Ricardo Bedin Grando; Alisson Henrique Kolling; Gabriel Vinícius Heisler; Rodrigo da Silva Guerra (CoRR, 2022)

Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (CoRR, 2022)

Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep Reinforcement Learning Through Environmental Generalization. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (CoRR, 2022)

Double Critic Deep Reinforcement Learning for Mapless 3D Navigation of Unmanned Aerial Vehicles. - Ricardo Bedin Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Paulo Lilles Jorge Drews Junior (J. Intell. Robotic Syst., 2022)

DoCRL: Double Critic Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Matheus G. Mateus; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2023)

Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles. - Alisson Henrique Kolling; Victor Augusto Kich; Junior Costa de Jesus; Andressa Cavalcante da Silva; Ricardo Bedin Grando; Paulo Lilles Jorge Drews; Daniel Fernando Tello Gamarra (LARS/SBR/WRE, 2023)

DoCRL: Double Critic Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (CoRR, 2023)

Jubileo: An Immersive Simulation Framework for Social Robot Design. - Jair Augusto Bottega; Victor Augusto Kich; Junior Costa de Jesus; Raul Steinmetz; Alisson Henrique Kolling; Ricardo Bedin Grando; Rodrigo da Silva Guerra; Daniel Fernando Tello Gamarra (J. Intell. Robotic Syst., 2023)

Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning. - Ricardo B. Grando; Raul Steinmetz; Victor Augusto Kich; Alisson Henrique Kolling; Pablo M. Furik; Junior Costa de Jesus; Bruna de Vargas Guterres; Daniel Fernando Tello Gamarra; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (CASE, 2024)

Parallel Distributional Deep Reinforcement Learning for Mapless Navigation of Terrestrial Mobile Robots. - Victor Augusto Kich; Alisson Henrique Kolling; Junior Costa de Jesus; Gabriel Vinícius Heisler; Hiago Jacobs Sodre Pereira; Jair Augusto Bottega; André L. S. da Kelbouscas; Akihisa Ohya; Ricardo Bedin Grando; Paulo Lilles Drews Jr.; Daniel Fernando Tello Gamarra (CoRR, 2024)

Image-based Mapless Navigation of a Hybrid Aerial-Underwater Vehicle using Prioritized Deep Reinforcement Learning. - Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Ricardo Bedin Grando; Rodrigo da Silva Guerra; Paulo Lilles Jorge Drews Junior (J. Intell. Robotic Syst., 2025)