NiMlr / High-Dim-ES-RLLinks
Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
☆28Updated 3 years ago
Alternatives and similar repositories for High-Dim-ES-RL
Users that are interested in High-Dim-ES-RL are comparing it to the libraries listed below
Sorting:
- Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …☆16Updated 4 years ago
- **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms☆22Updated 4 years ago
- ☆35Updated 6 years ago
- Website for Quality-Diversity optimisation algorithms☆44Updated last week
- ☆72Updated 6 years ago
- ☆47Updated 4 years ago
- Map-Elites based on Evolution Strategies☆31Updated 3 years ago
- Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583☆19Updated 5 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 3 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆31Updated 4 years ago
- ☆72Updated 2 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- (GECCO 2022) CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization☆29Updated last year
- ☆54Updated 7 years ago
- ☆27Updated 6 years ago
- DE, CMA-ES, MA-ES, LM-MAES Python Implementation☆29Updated 6 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- This repository contains the code used in the paper Evaluating the Performance of Reinformcent Learning Algorithms☆27Updated 3 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Public Release of Plan2vec Implementation in pyTorch☆56Updated 2 years ago
- map elites python reference implementation☆85Updated last year
- Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.☆17Updated 6 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 4 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 5 years ago