Sigaud, Olivier
- Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey
2020/12/17 by Cédric Colas, Tristan Karch, Colas, Cédric +5 · 13 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning
- How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments
2018/06/21 by Cédric Colas, Olivier Sigaud, Colas, Cédric +3 · 10 citations
Computer Science · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Advanced Multi-Objective Optimization Algorithms
- CEM-RL: Combining evolutionary and gradient-based methods for policy search
2018/10/02 by Aloïs Pourchot, Olivier Sigaud, Pourchot, Aloïs +1 · 9 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
- Path Integral Policy Improvement with Covariance Matrix Adaptation
2012/06/18 by Freek Stulp, Stulp, Freek, Olivier Sigaud +1 · 6 citations
Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Simulation Techniques and Applications
- A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms
2019/04/15 by Cédric Colas, Olivier Sigaud, Colas, Cédric +3 · 7 citations
Computer Science · Psychology · #Evolutionary Algorithms and Applications #Mental Health Research Topics
- Combining Evolution and Deep Reinforcement Learning for Policy Search: a Survey
2022/03/26 by Olivier Sigaud, Sigaud, Olivier · 4 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics
- EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL
2022/06/20 by Carta, Thomas, Oudeyer, Pierre-Yves, Sigaud, Olivier +1 · 3 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
2018/02/14 by Colas, Cédric, Sigaud, Olivier, Oudeyer, Pierre-Yves · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning Compositional Neural Programs with Recursive Tree Search and Planning
2019/05/30 by Pierrot, Thomas, Ligner, Guillaume, Reed, Scott +6 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL
2020/06/12 by Cédric Colas, Colas, Cédric, Ahmed Akakzia +7 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Speech and dialogue systems
- Offline Reinforcement Learning Hands-On
2020/11/29 by Louis Monier, Monier, Louis, Jakub Kmec +11 · 1 citation
Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Reinforcement Learning in Robotics
- Divide & Conquer Imitation Learning
2022/04/15 by Alexandre Chenu, Chenu, Alexandre, Nicolas Perrin-Gilbert +3 · 1 citation
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Mobile Crowdsensing and Crowdsourcing #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
- A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents
2023/11/01 by Olivier Sigaud, Gianluca Baldassarre, Sigaud, Olivier +13 · 1 citation
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Game Theory and Applications
- Investigating Generalisation in Continuous Deep Reinforcement Learning
2019/02/19 by Chenyang Zhao, Zhao, Chenyang, Olivier Sigaud +5 · 2 citations
Computer Science · Engineering · #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Machine Learning and Algorithms
- An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks
2023/10/09 by Raffin, Antonin, Sigaud, Olivier, Kober, Jens +3 · 1 citation
#FOS: Computer and information sciences #Robotics (cs.RO)
- VIPER: Visual Perception and Explainable Reasoning for Sequential Decision-Making
2025/03/19 by Mohamed-Salim Aissi, Clémence Grislain, Aissi, Mohamed Salim +9 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Data Visualization and Analytics #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- SAC-GLAM: Improving Online RL for LLM agents with Soft Actor-Critic and Hindsight Relabeling
2024/10/16 by Gaven, Loris, Romac, Clement, Carta, Thomas +3 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning
2022/06/14 by Nicolas Castanet, Sylvain Lamprier, Castanet, Nicolas +3 · 1 citation
Computer Science · #Reinforcement Learning in Robotics #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning
- FLOCAL: Architecture for Metacognitive Autotelic Artificial Intelligence
2025/02/11 by Thomas Carta, Gaven, Loris, Clément Romac +10 · 3 voices
Computer Science · #Reinforcement Learning in Robotics #Online Learning and Analytics #Data Stream Mining Techniques