Alternatives and similar repositories for ordinary_neural_circuits

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

• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• HumanCompatibleAI / rlsp
  Reward Learning by Simulating the Past
  ☆46Updated 6 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated 2 years ago
• facebookresearch / rela
  Reinforcement Learning Assembly
  ☆92Updated 4 years ago
• google-deepmind / labmaze
  A standalone release of DeepMind Lab's maze generator with Python bindings.
  ☆67Updated 2 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".
  ☆64Updated 2 years ago
• flowersteam / Unsupervised_Goal_Space_Learning
  Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"
  ☆21Updated 7 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• flowersteam / geppg
  ☆35Updated 7 years ago
• AnujMahajanOxf / VIREL
  Code for VIREL: A Variational Inference Framework for Reinforcement Learning
  ☆14Updated 6 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• ShangtongZhang / DistributedES
  Distributed implementation of popular evolutionary methods
  ☆64Updated 8 years ago
• uber-research / Evolvability-ES
  ☆14Updated 6 years ago
• gkahn13 / CAPs
  ☆32Updated 7 years ago
• rddy / isql
  Inferring beliefs about dynamics from behavior
  ☆30Updated 7 years ago
• chenxy99 / Generative-Temporal-Models-with-Spatial-Memory
  Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"
  ☆29Updated 3 years ago
• Feryal / automated-curriculum-rl
  ☆31Updated 7 years ago
• njustesen / a2c_gvgai
  A2C for GVG-AI
  ☆22Updated 7 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆40Updated last year
• facebookresearch / dcem
  The Differentiable Cross-Entropy Method
  ☆124Updated 5 years ago
• two2tee / WorldModelPlanning
  ☆17Updated 4 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated 2 years ago
• brain-research / mirage-rl
  Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.
  ☆17Updated 7 years ago
• gsastry / human-rl
  Code for human intervention reinforcement learning
  ☆35Updated 8 years ago
• willwhitney / dynamics-aware-embeddings
  Official implementation of DynE, Dynamics-aware Embeddings for RL
  ☆44Updated 4 years ago
• StanfordASL / ALPaCA
  Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone
  ☆54Updated 2 years ago
• google-research / world_models
  ☆125Updated 2 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 5 years ago
• MasterScrat / rl-insights
  🤖 Reinforcement Learning paper summaries, notebooks, and articles.
  ☆26Updated 5 years ago