Alternatives and similar repositories for bo_tutorial

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

• jbmouret / map_elites_tutorial
  Jupyter notebook for the MAP-Elites algorithms (Mouret & Clune, 2015)
  ☆22Updated 3 years ago
• erachelson / rlvs_rl_fundamentals
  ☆25Updated 4 years ago
• lili-chen / SEER
  Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.
  ☆21Updated 4 years ago
• 0xangelo / gym-cartpole-swingup
  A simple, continuous-control environment for OpenAI Gym
  ☆23Updated 2 years ago
• LearningByDoingCompetition / learningbydoing-comp
  LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results
  ☆19Updated 3 years ago
• dsbrown1331 / bayesianrex
  ☆20Updated 4 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago
• resibots / kaushik_2018_multi-dex
  Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)
  ☆13Updated 7 years ago
• yuqingd / sim2real2sim_rad
  ☆57Updated 3 years ago
• johannesnauta / pytorch-pne
  PyTorch implementation of Probabilistic Network Ensembles on toy problems
  ☆23Updated 2 years ago
• PierreExeter / rl_reach
  RL Reach is a platform for running reproducible reinforcement learning experiments.
  ☆43Updated 2 months ago
• MarcToussaint / AI-lectures
  Lecture notes, slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths, Optimization
  ☆132Updated 8 months ago
• flowersteam / teachDeepRL
  ☆89Updated 4 years ago
• osigaud / Basic-Policy-Gradient-Labs
  A repo to design basic Policy Gradient labs
  ☆12Updated 2 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆33Updated 2 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated 2 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆53Updated 3 years ago
• Miffyli / rl-action-space-shaping
  Experiment code for testing effect of various action space transformations in reinforcement learning
  ☆30Updated 5 years ago
• eager-dev / eager
  [deprecated] Engine Agnostic Gym Environment for Robotics
  ☆17Updated 3 years ago
• sebascuri / rllib
  ☆19Updated last year
• flowersteam / curious
  Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
  ☆27Updated 5 years ago
• avisingh599 / cog
  [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
  ☆33Updated 4 years ago
• icaros-usc / dqd-rl
  Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
  ☆20Updated 3 years ago
• FarnazAdib / Crash_course_on_RL
  This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.
  ☆82Updated last year
• RedTachyon / coltra-rl
  A modular implementation of PPO, and soon hopefully other algorithms.
  ☆26Updated last year
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆57Updated 2 years ago
• edlanglois / mbbl-pilco
  Implementation of PILCO for the Model-Based Baselines Project
  ☆18Updated 6 years ago
• google-research / world_models
  ☆125Updated 2 years ago
• kschweig / OfflineRL
  Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning
  ☆25Updated 2 years ago
• HumanCompatibleAI / deep-rlsp
  Code accompanying "Learning What To Do by Simulating the Past", ICLR 2021.
  ☆27Updated 4 years ago