Wierstra, Daan
- Playing Atari with Deep Reinforcement Learning
2013/12/19 by Volodymyr Mnih, Koray Kavukcuoglu, Mnih, Volodymyr +11 · 5 voices · 963 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence in Games #Reinforcement Learning in Robotics #cs.LG
- PathNet: Evolution Channels Gradient Descent in Super Neural Networks
2017/01/30 by Chrisantha Fernando, Fernando, Chrisantha, Dylan Banarse +14 · 3 voices · 121 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Neural Networks and Applications #Reinforcement Learning in Robotics #cs.LG #cs.NE
- Relational inductive biases, deep learning, and graph networks
2018/06/04 by Peter W. Battaglia, Battaglia, Peter W., Jessica B. Hamrick +51 · 2 voices · 171 citations
Computer Science · Mathematics · #cs.LG #cs.AI #stat.ML
- DRAW: A Recurrent Neural Network For Image Generation
2015/02/16 by Karol Gregor, Gregor, Karol, Ivo Danihelka +7 · 2 voices · 167 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Image Retrieval and Classification Techniques #Medical Image Segmentation Techniques #cs.CV #cs.LG #cs.NE
- Neural Episodic Control
2017/03/06 by Alexander Pritzel, Pritzel, Alexander, Benigno Uria +14 · 2 voices · 43 citations
Computer Science · Mathematics · Neuroscience · #Explainable Artificial Intelligence (XAI) #Neural dynamics and brain function #Reinforcement Learning in Robotics #cs.LG #stat.ML
- One-shot Learning with Memory-Augmented Neural Networks
2016/05/19 by Adam Santoro, Sergey Bartunov, Santoro, Adam +7 · 1 voice · 52 citations
Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Geophysical Methods and Applications
- Continuous control with deep reinforcement learning
2015/09/09 by Timothy Lillicrap, Lillicrap, Timothy P., Jonathan J. Hunt +13 · 990 citations
Computer Science · Engineering · #Adaptive Dynamic Programming Control #Advanced Control Systems Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Weight Uncertainty in Neural Networks
2015/05/20 by Charles Blundell, Julien Cornebise, Blundell, Charles +5 · 263 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Matching Networks for One Shot Learning
2016/06/13 by Oriol Vinyals, Charles Blundell, Vinyals, Oriol +7 · 233 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
- Variational Intrinsic Control
2016/11/22 by Karol Gregor, Danilo Jimenez Rezende, Gregor, Karol +3 · 1 voice · 68 citations
Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Reinforcement Learning in Robotics #Smart Grid Energy Management #cs.AI #cs.LG
- Stochastic Backpropagation and Approximate Inference in Deep Generative\n Models
2014/01/16 by Danilo Jimenez Rezende, Rezende, Danilo Jimenez, Shakir Mohamed +3 · 218 citations
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Imagination-Augmented Agents for Deep Reinforcement Learning
2017/07/19 by Théophane Weber, Sébastien Racanière, Weber, Théophane +29 · 1 voice · 29 citations
Computer Science · Mathematics · #Reinforcement Learning in Robotics #cs.AI #cs.LG #stat.ML
- Recurrent Environment Simulators
2017/04/07 by Silvia Chiappa, Chiappa, Silvia, Sébastien Racanière +5 · 31 citations
Computer Science · Engineering · #Reinforcement Learning in Robotics #Evacuation and Crowd Dynamics
- Model-Free Episodic Control
2016/06/14 by Charles Blundell, Benigno Uría, Blundell, Charles +15 · 20 citations
Neuroscience · #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Memory and Neural Mechanisms #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Neuroscience and Neuropharmacology Research
- One-Shot Generalization in Deep Generative Models
2016/03/16 by Danilo Jimenez Rezende, Shakir Mohamed, Rezende, Danilo Jimenez +7 · 19 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
2019/06/06 by A. Mott, Mott, Alex, Daniel Zoran +7 · 9 citations
Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Domain Adaptation and Few-Shot Learning
- Towards Conceptual Compression
2016/04/29 by Karol Gregor, Gregor, Karol, Frederic Besse +7 · 15 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Image Retrieval and Classification Techniques #AI in cancer detection
- Scaling Instructable Agents Across Many Simulated Worlds
2024/03/13 by SIMA team, SIMA Team, Maria Abi Raad +184 · 19 citations
Computer Science · #Robotic Path Planning Algorithms #Teaching and Learning Programming
- Efficient Natural Evolution Strategies
2012/09/26 by Yi Sun, Sun, Yi, Daan Wierstra +5 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Reinforcement Learning in Robotics
- Learning to Search with MCTSnets
2018/02/13 by Arthur Guez, Guez, Arthur, Théophane Weber +13 · 6 citations
Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Learning and Querying Fast Generative Models for Reinforcement Learning
2018/02/08 by Lars Buesing, Buesing, Lars, Théophane Weber +19 · 3 citations
Computer Science · #Artificial Intelligence in Games #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Convolution by Evolution: Differentiable Pattern Producing Networks
2016/06/08 by Fernando, Chrisantha, Banarse, Dylan, Reynolds, Malcolm +5 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- SIMA 2: A Generalist Embodied Agent for Virtual Worlds
2025/12/04 by SIMA team, Adrian Bolton, Bolton, Adrian +135 · 3 voices · 4 citations
Computer Science · Psychology · #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Social Robot Interaction and HRI #cs.AI #cs.RO
- Learning model-based planning from scratch
2017/07/19 by Razvan Pascanu, Yujia Li, Pascanu, Razvan +17 · 1 citation
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics #Robot Manipulation and Learning
- Relational recurrent neural networks
2018/06/05 by Santoro, Adam, Faulkner, Ryan, Raposo, David +7 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)