Alternatives and similar repositories for map_elites_tutorial

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

• jbmouret / bo_tutorial
  Notebook for the Bayesian Optimization (quick) tutorial
  ☆10Updated 4 years ago
• jakegrigsby / deep_control
  Deep Reinforcement Learning for Continuous Control in PyTorch
  ☆105Updated 4 years ago
• Miffyli / rl-action-space-shaping
  Experiment code for testing effect of various action space transformations in reinforcement learning
  ☆30Updated 5 years ago
• ollebompa / QDgym
  Repository for the QDgym code. A framework for Quality Diversity optimization benchmark tasks based OpenAI Gym.
  ☆25Updated 4 years ago
• resibots / pymap_elites
  map elites python reference implementation
  ☆96Updated 2 years ago
• siekmanj / r2l
  Recurrent continuous reinforcement learning algorithms implemented in Pytorch.
  ☆51Updated 4 years ago
• araffin / rl-handson-rlvs21
  Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.
  ☆58Updated 2 years ago
• flowersteam / curious
  Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
  ☆27Updated 5 years ago
• RobertTLange / spinningup-workspace
  Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.
  ☆40Updated 3 years ago
• apourchot / CEM-RL
  Combining Evolutionary Algorithms and deep RL in various ways
  ☆107Updated 5 years ago
• siemens / industrialbenchmark
  Industrial Benchmark
  ☆139Updated 2 years ago
• karush17 / esac
  Evolution-based Soft Actor-Critic (ESAC)
  ☆42Updated last year
• mit-gfx / PGMORL
  [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
  ☆124Updated 5 years ago
• ppocma / ppocma
  ☆72Updated 6 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• VincentYu68 / policy_transfer
  ☆30Updated 5 years ago
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆43Updated 3 years ago
• jparkerholder / DvD_ES
  Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…
  ☆44Updated 5 years ago
• erachelson / rlvs_rl_fundamentals
  ☆25Updated 4 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago
• ramp-kits / rl_simulator
  Model-based reinforcement learning (generative simulator models and planning agents)
  ☆16Updated 4 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• louiskirsch / metagenrl
  MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…
  ☆68Updated 5 years ago
• quality-diversity / quality-diversity.github.io
  Website for Quality-Diversity optimisation algorithms
  ☆49Updated 3 weeks ago
• cycraig / gym-goal
  OpenAI Gym environment for Robot Soccer Goal
  ☆18Updated 6 years ago
• 0xangelo / gym-cartpole-swingup
  A simple, continuous-control environment for OpenAI Gym
  ☆23Updated 3 years ago
• aravindsrinivas / neural-mpc
  ☆73Updated 5 years ago
• Ankur-Deka / Emergent-Multiagent-Strategies
  Emergence of complex strategies through multiagent competition
  ☆45Updated 3 years ago
• BrunoKM / deep-pilco-torch
  Deep PILCO PyTorch Implementation
  ☆15Updated 2 years ago
• CherryPieSexy / imitation_learning
  PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
  ☆149Updated 4 years ago