mbchang / crlLinks
Automatically Composing Representation Transformations as a Means for Generalization
☆24Updated 6 years ago
Alternatives and similar repositories for crl
Users that are interested in crl are comparing it to the libraries listed below
Sorting:
- Measuring compositionality in representation learning☆73Updated 6 years ago
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆116Updated 6 years ago
- Stein Variational Policy Gradient for REINFORCE☆18Updated 8 years ago
- Solving reinforcement learning tasks which require language and vision☆33Updated 2 years ago
- Modular multitask reinforcement learning with policy sketches☆110Updated 4 years ago
- Learning with latent language☆51Updated 4 years ago
- Code for "Recurrent Independent Mechanisms"☆120Updated 3 years ago
- PyTorch implementation for The Scattering Compositional Learner (SCL)☆32Updated 5 years ago
- Experiment code for the ICLR 2020 paper "RTFM: Generalising to New Environment Dynamics via Reading".☆39Updated 4 years ago
- On the pitfalls of measuring emergent communication☆34Updated 6 years ago
- Grounded SCAN data set.☆70Updated 4 years ago
- This framework provides out-of-the-box implementations of Referential Games variants in order to study the emergence of artificial langua…☆22Updated 2 months ago
- ☆85Updated 6 years ago
- Code for paper Causal Confusion in Imitation Learning☆46Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆80Updated 6 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 6 years ago
- Contains an implementation of "Imitation Learning via Kernel Mean Embedding (2018, AAAI)"☆11Updated 7 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆128Updated 6 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- Code accompanying the OptionGAN paper.☆44Updated 7 years ago
- ☆91Updated 6 years ago
- CompILE: Compositional Imitation Learning and Execution (ICML 2019)☆112Updated 6 years ago
- A job launching library for docker, EC2, GCP, etc.☆57Updated 4 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- ☆63Updated 4 years ago
- E2C implementation in PyTorch☆43Updated 8 years ago
- ☆112Updated last year
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 8 years ago