ALFA-group / lipizzaner-ganLinks
[AAAI 2018] "Towards distributed coevolutionary GANs" by Abdullah Al-Dujaili, Tom Schmiedlechner, Erik Hemberg, Una-May O'Reilly
☆35Updated last year
Alternatives and similar repositories for lipizzaner-gan
Users that are interested in lipizzaner-gan are comparing it to the libraries listed below
Sorting:
- ☆183Updated last year
- Reinforcement Learning Cheat Sheet☆156Updated 5 years ago
- The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …☆165Updated 2 years ago
- A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"☆153Updated 6 years ago
- A library that makes Evolutionary Strategies (ES) simple to use.☆180Updated 4 years ago
- Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).☆90Updated 6 years ago
- Labs for understanding and coding Standard Reinforcement Learning concepts☆55Updated 6 years ago
- This project was moved to: https://github.com/coax-dev/coax☆160Updated 2 years ago
- Guided Evolutionary Strategies☆272Updated 2 years ago
- Industrial Benchmark☆132Updated 2 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- ☆308Updated 4 years ago
- RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, a…☆261Updated 2 years ago
- Bandits Environments for the OpenAI Gym☆89Updated 5 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- Starter kit for the black box optimization challenge at Neurips 2020☆113Updated 5 years ago
- Differentiable Optimization-Based Modeling for Machine Learning☆339Updated 5 years ago
- Paired Open-Ended Trailblazer (POET) and Enhanced POET☆254Updated 3 years ago
- A bare-bones Python library for quality diversity optimization.☆237Updated this week
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Updated 9 years ago
- [ICML-18] Codes for the custom games we built to compare RL agents with humans☆66Updated 6 years ago
- ☆80Updated last year
- Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks☆51Updated 2 years ago
- A curated collection of reinforcement learning resources☆93Updated last year
- Highly Modular and Scalable Reinforcement Learning☆117Updated 5 years ago
- Input Convex Neural Networks☆297Updated 6 years ago
- Augmented environments with RL☆104Updated 6 years ago
- Build neural networks with less boilerplate code☆167Updated 2 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Updated 2 years ago
- 2019 talk at GECCO☆68Updated 6 years ago