jbmouret / map_elites_tutorialLinks
Jupyter notebook for the MAP-Elites algorithms (Mouret & Clune, 2015)
☆22Updated 3 years ago
Alternatives and similar repositories for map_elites_tutorial
Users that are interested in map_elites_tutorial are comparing it to the libraries listed below
Sorting:
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Notebook for the Bayesian Optimization (quick) tutorial☆10Updated 4 years ago
- Repository for the QDgym code. A framework for Quality Diversity optimization benchmark tasks based OpenAI Gym.☆24Updated 4 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆104Updated 3 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆105Updated 4 years ago
- ☆45Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆163Updated 3 months ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆43Updated last week
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 4 years ago
- ☆22Updated last year
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆42Updated 3 years ago
- Industrial Benchmark☆132Updated 2 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆75Updated last year
- Repository for the PGA-MAP-Elites algorithm. PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy d…☆58Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 4 months ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆39Updated 2 years ago
- Emergence of complex strategies through multiagent competition☆44Updated 2 years ago
- Partially Observable Process Gym☆201Updated 3 months ago
- Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.☆51Updated 2 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆89Updated last year
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆76Updated 2 years ago
- Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020☆55Updated last year
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 3 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆138Updated 11 months ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Updated 2 years ago