jbmouret / map_elites_tutorial
Jupyter notebook for the MAP-Elites algorithms (Mouret & Clune, 2015)
☆19Updated 2 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
- Notebook for the Bayesian Optimization (quick) tutorial☆10Updated 3 years ago
- Repository for the QDgym code. A framework for Quality Diversity optimization benchmark tasks based OpenAI Gym.☆22Updated 3 years ago
- Repository for the PGA-MAP-Elites algorithm. PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy d…☆36Updated 3 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆19Updated 2 years ago
- ☆41Updated last year
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 4 years ago
- A repo to design basic Policy Gradient labs☆12Updated last year
- Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning☆27Updated 4 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- A web based platform for collecting human actions in reinforcement learning environments☆28Updated last year
- A modular implementation of PPO, and soon hopefully other algorithms.☆26Updated last year
- ☆32Updated 6 months ago
- Deep Reinforcement Learning Framework done with PyTorch☆32Updated this week
- map elites python reference implementation☆80Updated last year
- Algorithms for Uni-Modal Inverse Reinforcement Learning☆18Updated 2 years ago
- A modified benchmark for designing and controlling 2D Voxel-based Soft Robots☆34Updated last year
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 3 months ago
- ☆18Updated 4 years ago
- Emergence of complex strategies through multiagent competition☆42Updated 2 years ago
- ☆21Updated 10 months ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆50Updated 3 years ago
- My Body Is A Cage☆39Updated 3 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆44Updated 4 years ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆42Updated 2 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆44Updated 2 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 5 years ago
- Model-based reinforcement learning in TensorFlow☆55Updated 3 years ago