evanthebouncy / icml2018_selecting_representative_examplesLinks
code for icml paper: https://arxiv.org/abs/1711.03243v3
☆11Updated 7 years ago
Alternatives and similar repositories for icml2018_selecting_representative_examples
Users that are interested in icml2018_selecting_representative_examples are comparing it to the libraries listed below
Sorting:
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆49Updated 2 months ago
- ☆13Updated 6 years ago
- Variational Reinforcement Learning☆16Updated last year
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 3 years ago
- ☆80Updated last year
- Source code of "Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning" (AAMAS 2021).☆28Updated 4 years ago
- ☆65Updated last year
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆84Updated 5 years ago
- Public Release of Plan2vec Implementation in pyTorch☆57Updated 2 years ago
- ☆78Updated 4 years ago
- The Differentiable Cross-Entropy Method☆123Updated 5 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated last year
- Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)☆76Updated 5 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 5 years ago
- Reward Learning by Simulating the Past☆45Updated 6 years ago
- ☆45Updated last year
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆32Updated 2 years ago
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆46Updated 4 years ago
- This repository contains the Julia code for the paper "Competitive Gradient Descent"☆25Updated 5 years ago
- Generalised UDRL☆37Updated 3 years ago
- A Neuromodulated Meta-Learning algorithm☆117Updated 5 years ago
- An implementation of 2021 paper by Geoffrey Hinton: "How to represent part-whole hierarchies in a neural network" in Pytorch.☆57Updated 4 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 5 years ago
- Phy-Q: A Testbed for Physical Reasoning☆45Updated last year
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- PyTorch port and extension of the Deep Bayesian Bandits Library☆42Updated 5 years ago