Alternatives and similar repositories for modular_QD

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

• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆57Updated 2 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• flowersteam / geppg
  ☆35Updated 7 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆45Updated 2 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 4 years ago
• Miffyli / policy-supervectors
  Creating fixed-length vectors to describe RL/GA policies
  ☆20Updated 3 years ago
• icaros-usc / dqd
  A python implementation of differentiable quality diversity.
  ☆49Updated 3 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• KyriacosShiarli / taco
  ☆25Updated 6 years ago
• quality-diversity / quality-diversity.github.io
  Website for Quality-Diversity optimisation algorithms
  ☆47Updated 3 months ago
• yilundu / task_agnostic_dynamics_prior
  Code Release for Task Agnostic Dynamics Priors for Deep Reinforcement Learning
  ☆12Updated 6 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• philipjball / OffCon3
  📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)
  ☆24Updated 4 years ago
• xkianteb / dril
  Disagreement-Regularized Imitation Learning
  ☆30Updated 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".
  ☆64Updated 2 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• MinRegret / deluca
  Performant, differentiable reinforcement learning
  ☆24Updated 2 years ago
• juliuskunze / cwvae-jax
  Clockwork VAEs in JAX/Flax
  ☆32Updated 4 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆24Updated 6 years ago
• resibots / pymap_elites
  map elites python reference implementation
  ☆93Updated 2 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago
• ElisevanderPol / mdp-homomorphic-networks
  ☆29Updated 4 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆79Updated 6 years ago
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆45Updated 2 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• KyunghyunLee / aes-rl
  ☆17Updated 4 years ago
• emmaajordan / EvaluationOfRLAlgs
  This repository contains the code used in the paper Evaluating the Performance of Reinformcent Learning Algorithms
  ☆28Updated 4 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆67Updated 7 years ago