[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
-
Updated
Dec 27, 2022 - Jupyter Notebook
[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
[ICLR 2022] Linking Emergent and Natural Languages via Corpus Transfer
Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity".
A platform for running controlled experiments on teams of LLM agents: multi-agent simulations, an event-sourced run log, swap and fork interventions, and post-hoc evaluation metrics.
PyTorch implementation of "PatchGame: Learning to Signal Mid-level Patches in Referential Games" to appear in NeurIPS 2021
RL environment replicating the werewolf game to study emergent communication
Code repository for On the interaction between supervision and self-play in emergent communication (ICLR 2020)
Emergent Communication Pretraining for Few-Shot Machine Translation
The code repository for our paper "Shared Spatial Memory Through Predictive Coding".
Code for Emergent Communication under Competition (AAMAS 2021)
Studying emergent communication among agents in cooperative and competitive environments using Reinforcement Learning, game theory and replicator dynamics
Code repository for Capacity, Bandwidth, and Compositionality in Emergent Language Learning (AAMAS 2020)
Code accompanying the paper Measuring non-trivial compositionality in emergent communication
Emergent Communication in RLlib
Code accompanying the blog post "Introduction to Lewis signaling games with Python"
A multi-agent signaling game for emergent communication learning using REINFORCE
Project describing how social complexity relates to communication complexity
Source code for our paper "Learning to Communicate with Strangers via Channel Randomisation Methods"
Reproducible emergent AI communication experiments at the information-theoretic limit
Modular cooperative multi-agent reinforcement learning with communication, reproducible demos and explicit validation evidence.
To associate your repository with the emergent-communication topic, visit your repo's landing page and select "manage topics."