Robotics · Computer Science
Velocity-History-Based Soft Actor-Critic Tackling IROS'24 Competition "AI Olympics with RealAIGym"
Tim Lukas Faust, Habib Maraqten, Erfan Aghadavoodi, Boris Belousov +1
2024-10-29
Robotics · Computer Science
Finetuning Deep Reinforcement Learning Policies with Evolutionary Strategies for Control of Underactuated Robots
Marco Calì, Alberto Sinigaglia, Niccolò Turcato, Ruggero Carli +1
2025-07-15
Robotics · Computer Science
Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition
Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera, Jean Seong Bjorn Choe +16
2025-03-20
Machine Learning · Computer Science
DearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning
Chenghao Huang, Weilong Chen, Yuxi Chen, Shunji Yang +1
2022-02-01
Neural and Evolutionary Computing · Computer Science
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution
Hongshu Guo, Yining Ma, Zeyuan Ma, Jiacheng Chen +4
2024-03-08
Machine Learning · Computer Science
Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously
Mikita Sazanovich, Konstantin Chaika, Kirill Krinkin, Aleksei Shpilman
2020-07-08
Multiagent Systems · Computer Science
AI-Olympics: Exploring the Generalization of Agents through Open Competitions
Chen Wang, Yan Song, Shuai Wu, Sa Wu +3
2024-05-24
Robotics · Computer Science
Adversarial Skill Learning for Robust Manipulation
Pingcheng Jian, Chao Yang, Di Guo, Huaping Liu +1
2020-11-09
Machine Learning · Computer Science
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, Sergey Levine
2018-08-10
Robotics · Computer Science
Learning control of underactuated double pendulum with Model-Based Reinforcement Learning
Niccolò Turcato, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli +1
2024-09-10
Machine Learning · Computer Science
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi, Sergey Levine +1
2018-10-16
Robotics · Computer Science
The AI Driving Olympics at NeurIPS 2018
Julian Zilly, Jacopo Tani, Breandan Considine, Bhairav Mehta +13
2019-03-07
Machine Learning · Computer Science
Playing Non-Embedded Card-Based Games with Reinforcement Learning
Tianyang Wu, Lipeng Wan, Yuhang Wang, Qiang Wan +1
2025-04-08
Machine Learning · Computer Science
Pretrain Soft Q-Learning with Imperfect Demonstrations
Xiaoqin Zhang, Yunfei Li, Huimin Ma, Xiong Luo
2019-05-10
Artificial Intelligence · Computer Science
Imitation Game: A Model-based and Imitation Learning Deep Reinforcement Learning Hybrid
Eric MSP Veith, Torben Logemann, Aleksandr Berezin, Arlena Wellßow +1
2024-04-03