Alternatives and similar repositories for animal-ai

Users that are interested in animal-ai are comparing it to the libraries listed below

• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆54Updated 6 years ago
• ucl-dark / paired
  PAIRED in PyTorch 🔥
  ☆64Updated 2 years ago
• Kinds-of-Intelligence-CFI / animal-ai
  Animal-AI supports interdisciplinary research to help better understand human, animal, and artificial cognition.
  ☆85Updated 3 months ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆64Updated 2 years ago
• google-deepmind / dm_hard_eight
  ☆84Updated 5 years ago
• eaplatanios / jelly-bean-world
  A framework for experimenting with never-ending learning
  ☆81Updated last year
• andyljones / megastep
  megastep helps you build 1-million FPS reinforcement learning environments on a single GPU
  ☆146Updated 3 years ago
• awjuliani / neuro-nav
  A library for neuroscience-inspired navigation and decision making research.
  ☆210Updated 11 months ago
• enajx / HebbianMetaLearning
  Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
  ☆145Updated 4 years ago
• zfountas / deep-active-inference-mc
  Deep active inference agents using Monte-Carlo methods
  ☆96Updated 6 months ago
• google-deepmind / dm_fast_mapping
  ☆54Updated 4 years ago
• real-itu / Evocraft-py
  A Python interface for Minecraft built on gRPC
  ☆126Updated 3 years ago
• nathanwispinski / meta-rl
  A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.
  ☆17Updated 2 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago
• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆132Updated 2 years ago
• jazlab / moog.github.io
  Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.
  ☆37Updated 4 months ago
• ucbtns / dai
  🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment
  ☆34Updated 5 years ago
• infer-actively / pypc
  Predictive coding in Python
  ☆70Updated last year
• abhisheknaik96 / average-reward-methods
  Accompanying code for "Learning and Planning in Average-Reward Markov Decision Processes"
  ☆15Updated 4 years ago
• simondlevy / neat-gym
  Neuro-evolution for OpenAI Gym environments
  ☆59Updated 4 years ago
• google-research / world_models
  ☆125Updated 2 years ago
• pathak22 / modular-assemblies
  [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
  ☆116Updated 6 years ago
• AmiiThinks / AlphaEx
  A Python Toolkit for Managing a Large Number of Experiments
  ☆31Updated last year
• chandar-lab / RLHive
  ☆101Updated last year
• google-deepmind / pushworld
  PushWorld: A benchmark for manipulation planning with tools and movable obstacles
  ☆88Updated 3 weeks ago
• entity-neural-network / incubator
  Collection of in-progress libraries for entity neural networks.
  ☆30Updated 3 years ago
• google-deepmind / dm_alchemy
  DeepMind Alchemy task environment: a meta-reinforcement learning benchmark
  ☆202Updated 2 years ago
• HumanCompatibleAI / evaluating-rewards
  Library to compare and evaluate reward functions
  ☆67Updated 2 years ago
• flowersteam / Imagine
  Code for the paper Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration
  ☆33Updated 5 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated 2 years ago