Showing 1–20 of 29 results
/ Date/ Name
Jan 16, 2014Stochastic Backpropagation and Approximate Inference in Deep Generative ModelsMay 20, 2015Weight Uncertainty in Neural NetworksFeb 8, 2018Learning and Querying Fast Generative Models for Reinforcement LearningJan 30, 2017PathNet: Evolution Channels Gradient Descent in Super Neural NetworksNov 22, 2016Variational Intrinsic ControlJul 19, 2017Imagination-Augmented Agents for Deep Reinforcement LearningJun 5, 2018Relational recurrent neural networksDec 4, 2025SIMA 2: A Generalist Embodied Agent for Virtual WorldsSep 26, 2012Efficient Natural Evolution StrategiesDec 19, 2013Playing Atari with Deep Reinforcement LearningJun 4, 2018Relational inductive biases, deep learning, and graph networksSep 9, 2015Continuous control with deep reinforcement learningFeb 13, 2018Learning to Search with MCTSnetsMar 13, 2024Scaling Instructable Agents Across Many Simulated WorldsJun 6, 2019Towards Interpretable Reinforcement Learning Using Attention Augmented AgentsApr 29, 2016Towards Conceptual CompressionMar 6, 2017Neural Episodic ControlMay 19, 2016One-shot Learning with Memory-Augmented Neural NetworksJun 8, 2016Convolution by Evolution: Differentiable Pattern Producing NetworksApr 7, 2017Recurrent Environment Simulators