Discover flowersteam/playground_env Open Source project

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

218

lamorel

192

teachDeepRL

Simple tools for statistical analyses in RL experiments

rl-difference-testing

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

TeachMyAgent

An autonomous exploration library

explauto

geppg

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

Imagine

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

LLM-Culture

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

curious

Curiosity driven exploration of your complex system 👀

adtool

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

Unsupervised_Goal_Space_Learning

automated_discovery_of_lenia_patterns

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

Curiosity_Driven_Goal_Exploration

cognitive-testbattery

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

EpidemiOptim

Code for the paper Grounding Spatio-Temporal Language with Transformers

spatio-temporal-language-transformers

social-ai

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

EcoEvoJax

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

sbmltoodejax

TeX

Interactive_DeepRL_Demo

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

architect-builder-abig

kidlearn

picture-word-interference

sensorimotor-lenia-search

curious-exploration-of-grn-competencies

adtool_legacy

Active Learning Strategies in Naming Games

naminggamesal

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

self_calibration_BCI_plosOne_2015

TeX

gym_flowers

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

A python hierarchical configuration structure for scientific experiments

forest

Experimental study of curiosity and spontaneous exploration mechanisms in humans

SESM

fishing-baxter

meta-acl

ML-Agents environments for Intrinsically Motivated Exploration

mlagents-environments

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

clia

rl_stats

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

Mirrors the original repository @

runaway

Rust

autodiscjax

ChatGPT explained in 5 minutes

chatgpt_5_minutes