Near32 / ReferentialGym
This framework provides out-of-the-box implementations of Referential Games variants in order to study the emergence of artificial languages using deep learning, relying on PyTorch (https://www.pytorch.org).
☆22Updated last week
Alternatives and similar repositories for ReferentialGym:
Users that are interested in ReferentialGym are comparing it to the libraries listed below
- Reproducing the reinforcement learning models used in "Emergence of Linguistic Communication from Referential Games with Symbolic and Pix…☆12Updated 6 years ago
- Measuring compositionality in representation learning☆72Updated 5 years ago
- Automatically Composing Representation Transformations as a Means for Generalization☆24Updated 5 years ago
- Code repository for On the interaction between supervision and self-play in emergent communication (ICLR 2020)☆16Updated 5 years ago
- Solving reinforcement learning tasks which require language and vision☆32Updated last year
- Grounded SCAN data set.☆69Updated 3 years ago
- Learning with latent language☆50Updated 3 years ago
- Annotated bibliographies.☆40Updated 5 years ago
- PyTorch implementation for The Scattering Compositional Learner (SCL)☆32Updated 4 years ago
- Compositional Obverter Communication Learning From Raw Visual Input - Pytorch Implementation☆19Updated 3 years ago
- On the pitfalls of measuring emergent communication☆34Updated 6 years ago
- BabyAI++: Towards Grounded language Learning beyond Memorization, ICLR BeTR-RL 2020☆25Updated 4 years ago
- Reproduce ICLR2018 submission "Emergent Communication through Negotiation"☆17Updated 6 years ago
- Modular multitask reinforcement learning with policy sketches☆108Updated 3 years ago
- This is the dataset generation code for ADEPT (Approximate Derenderer, Extended Physics, and Tracking). http://physadept.csail.mit.edu/☆15Updated 2 years ago
- ☆33Updated 6 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆52Updated 7 years ago
- Experiment code for the ICLR 2020 paper "RTFM: Generalising to New Environment Dynamics via Reading".☆38Updated 3 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- rllab's viskit with some added features☆73Updated last year
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Pytorch implementation of the paper 'Compositional language emerge in a neural iterated learning' (ICLR 2020).☆14Updated 3 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆48Updated 6 years ago
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆116Updated 5 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆37Updated 5 years ago
- ☆36Updated 7 months ago
- CLEVR-Robot: a reinforcement learning environment combining vision, language and control.☆133Updated 7 months ago
- Entity Abstraction in Visual Model-Based Reinforcement Learning☆56Updated 4 years ago
- Implementation of Grounded Language Learning in a 3D Simulated World (DeepMind)☆34Updated 7 years ago