Alternatives and similar repositories for HebbianMetaLearning

Users that are interested in HebbianMetaLearning are comparing it to the libraries listed below

• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆52Updated 5 years ago
• zfountas / deep-active-inference-mc
  Deep active inference agents using Monte-Carlo methods
  ☆89Updated last month
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆77Updated 5 years ago
• HumanCompatibleAI / evaluating-rewards
  Library to compare and evaluate reward functions
  ☆67Updated last year
• Multi-Agent-Networks / NaRLA
  Giving Up Control: Neurons as Reinforcement Learning Agents
  ☆13Updated last year
• ucbtns / dai
  🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment
  ☆34Updated 5 years ago
• Kinds-of-Intelligence-CFI / animal-ai
  Animal-AI supports interdisciplinary research to help better understand human, animal, and artificial cognition.
  ☆73Updated 3 weeks ago
• google-deepmind / dm_hard_eight
  ☆84Updated 4 years ago
• mariacer / strong_dfc
  Minimizing Control for Credit Assignment with Strong Feedback
  ☆14Updated 8 months ago
• NACLab / ngc-learn
  NGC-Learn: Neurobiological Systems Design and Simulation in Python
  ☆155Updated last month
• mdcrosby / animal-ai
  Animal-AI 3
  ☆65Updated 2 years ago
• alec-tschantz / rl-inference
  Reinforcement Learning through Active Inference
  ☆75Updated 5 years ago
• BerenMillidge / DeepActiveInference
  Code for the paper Deep Active Inference as Variational Policy Gradients.
  ☆24Updated 5 years ago
• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆157Updated 4 years 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".
  ☆63Updated last year
• ucl-dark / paired
  PAIRED in PyTorch 🔥
  ☆62Updated 2 years ago
• resibots / pymap_elites
  map elites python reference implementation
  ☆90Updated last year
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆145Updated 2 years ago
• luchris429 / JaxLife
  An Open-Ended Agentic Simulator
  ☆51Updated 11 months ago
• simondlevy / neat-gym
  Neuro-evolution for OpenAI Gym environments
  ☆56Updated 4 years ago
• vicariousinc / naturecomm_cscg
  ☆41Updated 2 years ago
• JesseFarebro / distributional-sr
  Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".
  ☆21Updated 8 months ago
• abhisheknaik96 / average-reward-methods
  Accompanying code for "Learning and Planning in Average-Reward Markov Decision Processes"
  ☆14Updated 4 years ago
• julestalloen / pytorch-hebbian
  A lightweight and flexible framework for Hebbian learning in PyTorch.
  ☆87Updated last year
• google-deepmind / dm_alchemy
  DeepMind Alchemy task environment: a meta-reinforcement learning benchmark
  ☆199Updated 2 years ago
• BerenMillidge / FEP_Active_Inference_Papers
  A repository for major/influential FEP and active inference papers.
  ☆198Updated 4 years ago
• BerenMillidge / Theory_Associative_Memory
  repo for code for paper on general theory associative memory models
  ☆19Updated 3 years ago
• awjuliani / neuro-nav
  A library for neuroscience-inspired navigation and decision making research.
  ☆205Updated 5 months ago
• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆48Updated last year
• mtrazzi / two-step-task
  Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…
  ☆58Updated 6 years ago