Alternatives and similar repositories for gibo

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

• tedmoskovitz / WNPG
  implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies
  ☆13Updated 4 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆57Updated 2 years ago
• sebascuri / hucrl
  ☆32Updated 2 years ago
• rail-berkeley / design-bench
  ☆53Updated 3 years ago
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated 2 years ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆168Updated this week
• rail-berkeley / design-baselines
  ☆24Updated 3 years ago
• automl / arlbench
  HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient
  ☆26Updated last week
• cor3bit / bertsekas-marl
  PyTorch Implementation of the Sequential Multiagent Rollout algorithm
  ☆11Updated last year
• fusion-ml / OCBO
  Offline Contextual Bayesian Optimization
  ☆14Updated 2 years ago
• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆50Updated last year
• jaztsong / PILCO-gpytorch
  ☆34Updated 5 years ago
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆55Updated 2 years ago
• automl / mdp-playground
  A python package to design and debug RL agents.
  ☆32Updated last month
• facebookresearch / ContextualBO
  Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"
  ☆15Updated 4 years ago
• dtak / mbrl-smdp-ode
  PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020
  ☆45Updated 5 years ago
• daisatojp / mpo
  PyTorch Implementation of the Maximum a Posteriori Policy Optimisation
  ☆78Updated 3 years ago
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆160Updated 10 months ago
• manantomar / Mirror-Descent-Policy-Optimization
  Mirror Descent Policy Optimization
  ☆41Updated 5 years ago
• EvoConJP / CMA-ES_with_Margin
  (GECCO 2022) CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization
  ☆32Updated last year
• boschresearch / ube-mbrl
  Model-Based Uncertainty in Value Functions (AISTATS2023)
  ☆16Updated 2 years ago
• ml-jku / OfflineRL
  ☆31Updated 2 years ago
• NoemieJaquier / MaternGaBO
  This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…
  ☆21Updated 2 years ago
• lasgroup / opax
  ☆20Updated 10 months ago
• ElisevanderPol / mdp-homomorphic-networks
  ☆30Updated 4 years ago
• luchris429 / popjaxrl
  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
  ☆110Updated last year
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆38Updated 2 years ago
• sail-sg / optim4rl
  Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
  ☆26Updated 11 months ago
• martius-lab / pink-noise-rl
  ☆46Updated 2 years ago
• cagatayyildiz / oderl
  Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
  ☆55Updated last year