Vincent Moens

1. CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning
   2022/12/12 by Zhao Mandi, Homanga Bharadhwaj, Mandi, Zhao +9 · 20 citations
   Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Reinforcement Learning in Robotics
2. TorchRL: A data-driven decision-making library for PyTorch
   2023/06/01 by Albert Bou, Bou, Albert, Matteo Bettini +13 · 22 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
3. RoboHive: A Unified Framework for Robot Learning
   2023/10/10 by Vikas Kumar, Kumar, Vikash, Rutav Shah +13 · 16 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
4. BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
   2023/12/03 by Matteo Bettini, Amanda Prorok, Bettini, Matteo +3 · 15 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics #Software Engineering Research
5. MLGym: A New Framework and Benchmark for Advancing AI Research Agents
   2025/02/20 by Deepak Nathani, Lovish Madaan, Nathani, Deepak +31 · 33 citations
   Computer Science · Decision Sciences · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management #Semantic Web and Ontologies
6. ACEGEN: Reinforcement learning of generative chemical agents for drug discovery
   2024/05/07 by Albert Bou, Morgan Thomas, Bou, Albert +23 · 8 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
7. Efficient Semi-Implicit Variational Inference
   2021/01/15 by Vincent Moens, Hang Ren, Moens, Vincent +9 · 1 citation
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Algorithms