sarthmit / BRIMs
Implementation of Bidirectional Recurrent Independent Mechanisms (Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules)
☆28Updated 4 years ago
Alternatives and similar repositories for BRIMs:
Users that are interested in BRIMs are comparing it to the libraries listed below
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- ☆54Updated 3 years ago
- Sandbox environment for generalizable agent research☆24Updated 2 years ago
- Reinforcement Learning with Latent Flow☆43Updated 3 years ago
- "CoPhy: Counterfactual Learning of Physical Dynamics", F. Baradel, N. Neverova, J. Mille, G. Mori, C. Wolf, ICLR'2020☆33Updated 4 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 3 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 2 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆35Updated 11 months ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆29Updated 2 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆60Updated 5 years ago
- Automatically Composing Representation Transformations as a Means for Generalization☆24Updated 5 years ago
- Public Release of Plan2vec Implementation in pyTorch☆56Updated 2 years ago
- Code, data and benchmark from the paper "Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences".☆36Updated 3 years ago
- Original tensorflow implementation of SILOT (Spatially Invariant, Label-free Object Tracking).☆13Updated last year
- RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)☆18Updated 3 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆36Updated 5 years ago
- Collection of reinforcement learning algorithms☆15Updated 3 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆103Updated last year
- Code for Goal-Aware Prediction: Learning to Model what Matters☆20Updated 4 years ago
- Code for Environment Probing Interaction Policies [ICLR 2019]☆29Updated 5 years ago
- ☆25Updated 6 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 4 years ago
- Grounded SCAN data set.☆69Updated 3 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 4 years ago
- CREATE Environment for long-horizon physics-puzzle tasks with diverse tools☆18Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 3 years ago
- Variational Reinforcement Learning☆16Updated 6 months ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 6 years ago