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Grounding_LLMs_with_online_RL
We perform functional grounding of LLMs' knowledge in BabyAI-Textlamorel
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 experimentsTeachMyAgent
TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.explauto
An autonomous exploration librarygeppg
Imagine
Code for the paper Language as a Cognitive Tool to Imagine Goals in Curiosity Driven ExplorationLLM-Culture
Code for the "Cultural evolution in populations of Large Language Models" papercurious
Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learningadtool
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"Curiosity_Driven_Goal_Exploration
Code to reproduce the results of "Curiosity Driven Exploration of Learned Disentangled Goal Spaces"cognitive-testbattery
EpidemiOptim
Code for the paper EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models.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 Transformerssocial-ai
EcoEvoJax
Code for the paper "Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent Environments"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 Problemkidlearn
picture-word-interference
sensorimotor-lenia-search
curious-exploration-of-grn-competencies
adtool_legacy
naminggamesal
Active Learning Strategies in Naming Gamesself_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.0131491gym_flowers
Custom module that overrides gym to integrate custom environments from the lab.forest
A python hierarchical configuration structure for scientific experimentsSESM
Experimental study of curiosity and spontaneous exploration mechanisms in humansfishing-baxter
meta-acl
mlagents-environments
ML-Agents environments for Intrinsically Motivated Explorationclia
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 Algorithmsrunaway
Mirrors the original repository @autodiscjax
chatgpt_5_minutes
ChatGPT explained in 5 minutesLove Open Source and this site? Check out how you can help us