flowersteam/forest

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Python
Created over 10 years ago
Updated almost 9 years ago

flowersteam/forest

flowersteam

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A python hierarchical configuration structure for scientific experiments

Grounding_LLMs_with_online_RL

We perform functional grounding of LLMs' knowledge in BabyAI-Text

lamorel

Lamorel is a Python library designed for RL practitioners eager to use Large Language Models (LLMs).

teachDeepRL

rl-difference-testing

Simple tools for statistical analyses in RL experiments

TeachMyAgent

TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.

Jupyter Notebook

explauto

An autonomous exploration library

Jupyter Notebook

geppg

Imagine

Code for the paper Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration

LLM-Culture

Code for the "Cultural evolution in populations of Large Language Models" paper

curious

Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning

adtool

Curiosity driven exploration of your complex system 👀

Unsupervised_Goal_Space_Learning

Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"

Jupyter Notebook

automated_discovery_of_lenia_patterns

Curiosity_Driven_Goal_Exploration

Code to reproduce the results of "Curiosity Driven Exploration of Learned Disentangled Goal Spaces"

Jupyter Notebook

cognitive-testbattery

EpidemiOptim

Code for the paper EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models.

Jupyter Notebook

playground_env

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

spatio-temporal-language-transformers

Code for the paper Grounding Spatio-Temporal Language with Transformers

social-ai

Jupyter Notebook

EcoEvoJax

Code for the paper "Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent Environments"

Jupyter Notebook

sbmltoodejax

Interactive_DeepRL_Demo

In-browser interactive demo of Deep Reinforcement Learning agents' adaptation to unknown 2D tasks.

architect-builder-abig

Code base for the paper Learning to Guide and to Be Guided in the Architect-Builder Problem

kidlearn

picture-word-interference

Jupyter Notebook

sensorimotor-lenia-search

Jupyter Notebook

curious-exploration-of-grn-competencies

Jupyter Notebook

adtool_legacy

naminggamesal

Active Learning Strategies in Naming Games

self_calibration_BCI_plosOne_2015

Code and data associated to the paper: Exploiting task constraints for self-calibrated brain-machine interface control using error-related potentials. PLoS ONE, accepted for publication. 2015. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0131491

gym_flowers

Custom module that overrides gym to integrate custom environments from the lab.

SESM

Experimental study of curiosity and spontaneous exploration mechanisms in humans

fishing-baxter

meta-acl

Jupyter Notebook

mlagents-environments

ML-Agents environments for Intrinsically Motivated Exploration

clia

Site web du livre "C'est (pas) moi, c'est l'IA!" (Nathan)

rl_stats

Implementation of: A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms

runaway

Mirrors the original repository @

autodiscjax

chatgpt_5_minutes

ChatGPT explained in 5 minutes