lang-emerge-parlai
Language Emergence Demo
Demonstrates the non-compositional and human-interpretable nature of language emergence in multi-agent dialog using a game-based approach.
Implementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI
105 stars
6 watching
14 forks
Language: Python
last commit: almost 6 years ago emnlplanguage-groundingparlaipytorchreinforcement-learning
Related projects:
| Repository | Description | Stars |
|---|---|---|
 minqi/learning-to-communicate-pytorch | This project implements a PyTorch-based framework for learning discrete communication protocols in multi-agent reinforcement learning environments. | 349 |
 devendrachaplot/deeprl-grounding | Trains an RL agent to execute natural language instructions in a 3D environment using a combination of A3C and gated attention mechanisms. | 237 |
 hit-scir/elmoformanylangs | Provides pre-trained ELMo representations for multiple languages to improve NLP tasks. | 1,462 |
 storyyeller/cubiml-demo | A language prototype with subtyping and type inference for teaching cubic biunification algorithms | 165 |
 pld-linux/apertium-dict-en-gl | An English-Galician language translation dictionary for the Apertium platform. | 1 |
| pld-linux/apertium-dict-es-gl | A dictionary file for machine translation between two languages using a specific rule-based machine translation system | 1 |
 byungkwanlee/collavo | Develops a PyTorch implementation of an enhanced vision language model | 93 |
 jxxcarlson/l1 | A language demo project showcasing fault-tolerant parsing techniques for a simple language with a Lisp-like syntax. | 0 |
 fielddb/lucenerevolution-2013 | Demos and examples for utilizing linguistics in natural language processing with Lucene and Solr | 0 |
 namisan/mt-dnn | A PyTorch package implementing multi-task deep neural networks for natural language understanding | 2,238 |
 packtpublishing/hands-on-intelligent-agents-with-openai-gym | Teaching software developers to build intelligent agents using deep reinforcement learning and OpenAI Gym | 374 |
 onlytailei/carla_cil_pytorch | Implementation of a conditional imitation learning policy in PyTorch for autonomous driving using the Carla dataset. | 65 |
 eric-xw/arel | This codebase provides an implementation of a novel adversarial reward learning algorithm for generating human-like visual stories from image sequences. | 136 |
| pld-linux/apertium-dict-pt-gl | A dictionary and language pair for machine translation between Portuguese and Galician | 1 |
 tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 830 |