jianwen-xie / GridCell-3DLinks
Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion
☆16Updated 6 years ago
Alternatives and similar repositories for GridCell-3D
Users that are interested in GridCell-3D are comparing it to the libraries listed below
Sorting:
- PYTORCH Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial ag…☆18Updated 5 years ago
- Implementation of Vector Based Navigation using Grid-like cells using Tensorflow and Numpy☆36Updated 2 years ago
- Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as…☆254Updated 4 years ago
- TensorFlow code for paper: Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion☆18Updated 6 years ago
- OpenLock Environment for OpenAI Gym☆19Updated 4 years ago
- Repo for AAAI20 paper "Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning"☆9Updated 4 years ago
- Code for paper "IntPhys: A Benchmark and Dataset for Intuitive Physics".☆30Updated 5 years ago
- Code for "Deep predictive coding network for object recognition"☆25Updated 5 years ago
- [ICLR 2018] Tensorflow/Keras code for Semi-parametric Topological Memory for Navigation☆104Updated 6 years ago
- Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)☆50Updated 7 years ago
- Inferring the Similarity of Task-Derived Representations from Brain Activity☆16Updated 2 years ago
- Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.☆73Updated 2 years ago
- Tensorflow models and simulation code for 'ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking'☆47Updated 2 years ago
- Sidekick Policy Learning for Active Visual Exploration (ECCV 2018)☆26Updated 3 years ago
- Physics games involving tool use for studying human physical representations and rapid trial-and-error learning☆48Updated 4 years ago
- ☆28Updated 6 years ago
- Entity Abstraction in Visual Model-Based Reinforcement Learning☆57Updated 4 years ago
- Implementation of the Tolman Eichenbaum Machine in pytorch☆157Updated 3 years ago
- A fully working implementation of RATSLAM in Python, using OpenCV.☆45Updated 11 years ago
- PyTorch implementation of Approximate Derenderer, Extended Physics, and Tracking (ADEPT). http://physadept.csail.mit.edu/☆21Updated 3 years ago
- Python simulations of neuron models like SRM and STDP☆34Updated 10 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆37Updated 6 years ago
- Learning Spatial Common Sense with Geometry-Aware Recurrent Networks☆55Updated 5 years ago
- Predictive State Recurrent Neural Networks☆18Updated 5 years ago
- [ICRA 2019] Propagation Networks for Model-based Control Under Partial Observation☆47Updated 6 years ago
- Zero-shot Invariant and Efficient Visual Search☆33Updated 7 months ago
- ☆193Updated 2 years ago
- (Personal experiment) Unsupervised Predictive Memory in a Goal-Directed Agent https://arxiv.org/abs/1803.10760☆25Updated 6 years ago
- Official code for On Path Integration of Grid Cells: Group Representation and Isotropic Scaling (NeurIPS 2021)☆51Updated 3 years ago
- Reinforcement Learning for Spiking Neural Networks☆83Updated 11 months ago