Alternatives and similar repositories for mbbl

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

• kchua / handful-of-trials
  Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆451Updated 2 years ago
• justinjfu / inverse_rl
  ☆274Updated 7 years ago
• jannerm / mbpo
  Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
  ☆504Updated 2 years ago
• vitchyr / multiworld
  Multitask Environments for RL
  ☆278Updated 3 years ago
• katerakelly / oyster
  Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
  ☆497Updated 2 years ago
• Kaixhin / PlaNet
  Deep Planning Network: Control from pixels by latent planning with learned dynamics
  ☆371Updated 3 years ago
• quanvuong / handful-of-trials-pytorch
  Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆190Updated 2 years ago
• Farama-Foundation / D4RL-Evaluations
  ☆199Updated 2 years ago
• ikostrikov / pytorch-trpo
  PyTorch implementation of Trust Region Policy Optimization
  ☆442Updated 6 years ago
• jonasrothfuss / ProMP
  Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…
  ☆238Updated 2 years ago
• iclavera / learning_to_adapt
  Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
  ☆214Updated 2 years ago
• aviralkumar2907 / BEAR
  Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
  ☆161Updated 5 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆151Updated 4 years ago
• andrew-j-levy / Hierarchical-Actor-Critc-HAC-
  This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.
  ☆259Updated 5 years ago
• denisyarats / dmc2gym
  OpenAI Gym wrapper for the DeepMind Control Suite
  ☆218Updated last year
• MishaLaskin / curl
  CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
  ☆593Updated 4 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆430Updated last year
• florensacc / rllab-curriculum
  ☆137Updated 6 years ago
• thanard / me-trpo
  ☆92Updated last year
• twni2016 / pomdp-baselines
  Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
  ☆329Updated 11 months ago
• rll-research / url_benchmark
  ☆350Updated 2 years ago
• denisyarats / pytorch_sac_ae
  PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
  ☆248Updated 5 years ago
• lmzintgraf / varibad
  Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)
  ☆192Updated 2 years ago
• jeanharb / option_critic
  Implementation of the Option-Critic Architecture on the Atari (ALE) environment
  ☆179Updated 7 years ago
• zuoxingdong / mazelab
  A customizable framework to create maze and gridworld environments
  ☆268Updated 6 years ago
• nrontsis / PILCO
  Bayesian Reinforcement Learning in Tensorflow
  ☆331Updated 4 years ago
• google-research / realworldrl_suite
  Real-World RL Benchmark Suite
  ☆357Updated 4 years ago
• aravindr93 / mjrl
  Reinforcement learning algorithms for MuJoCo tasks
  ☆416Updated 4 months ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆182Updated 3 years ago
• juliusfrost / dreamer-pytorch
  Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.
  ☆305Updated last year