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Aslan's Projects

modified-ai-economist-wt icon modified-ai-economist-wt

Modified AI-Economist with Teaching: A Multi-agent Reinforcement Learning Study of Evolution of Teaching under Libertarian and Utilitarian Governing Systems

multiagent icon multiagent

Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas

neuroinspired-vision icon neuroinspired-vision

Trade-off among Over-parameterization, Disentanglement, and Dimensionality in Neural Networks

nlsom icon nlsom

🤯 Mindstorm in Natural Language-based Societies of Mind

omni icon omni

OMNI: Open-endedness via Models of human Notions of Interestingness

open_flamingo icon open_flamingo

An open-source framework for training large multimodal models

pags icon pags

Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness (Neurips 2023)

phantom icon phantom

A Multi-agent reinforcement-learning simulator framework.

pizza icon pizza

Code repository for "The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks"

playground_env icon playground_env

Implementation of the Playground environment from the paper Language as a Cognitive Tool to Imagine Goals inCuriosity-Driven Exploration.

prismer icon prismer

The implementation of "Prismer: A Vision-Language Model with An Ensemble of Experts".

prospective-configuration icon prospective-configuration

This repository contains the code for the paper "Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation."

rair-mbrl icon rair-mbrl

Code for our NeurIPS 2023 Paper: Regularity as Intrinsic Reward for Free Play

rl_abstraction icon rl_abstraction

Code for experimenting with state and action abstractions in reinforcement learning.

rl_info_theory icon rl_info_theory

A collection of code investigating the use of information theory for abstractions in RL

robotic-warehouse icon robotic-warehouse

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

rode icon rode

Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is a scalable role-based multi-agent learning method which effectively discovers roles based on joint action space decomposition according to action effects, establishing a new state of the art on the StarCraft multi-agent benchmark.

roma icon roma

Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)

shap icon shap

A game theoretic approach to explain the output of any machine learning model.

shapley icon shapley

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

simple_rl icon simple_rl

A simple framework for experimenting with Reinforcement Learning in Python.

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