chanshing / xnes
Implementation of "Exponential Natural Evolution Strategies" (xNES) https://arxiv.org/abs/1106.4487
☆19Updated 5 years ago
Alternatives and similar repositories for xnes:
Users that are interested in xnes are comparing it to the libraries listed below
- Covariance Matrix Adaptation Evolution Strategy (CMA-ES)☆62Updated 3 years ago
- Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies☆28Updated 2 years ago
- **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms☆22Updated 4 years ago
- Source code for the Self-Paced Deep Reinforcement Learning Experiments☆31Updated 2 years ago
- Minimal PyTorch Library for Natural Evolution Strategies☆17Updated 3 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆34Updated 4 years ago
- Co-training for Policy Learning☆13Updated 5 years ago
- ☆43Updated 4 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 4 years ago
- Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation☆49Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- (CEC2022) Fast Moving Natural Evolution Strategy for High-Dimensional Problems☆18Updated last year
- Pytorch implementation of Randomized Ensembled Double Q-learning (REDQ)☆21Updated 4 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆11Updated 4 years ago
- A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.☆12Updated 4 years ago
- Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"☆32Updated last year
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆39Updated 6 months ago
- Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)☆44Updated 2 years ago
- An adaptive black-box optimization method with directional Gaussian smoothing for high-dimensional multi-modal functions☆9Updated 4 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 3 years ago
- Code for Deep Reinforcement and InfoMax Learning (Neurips 2020)☆10Updated 4 years ago
- Code to reproduce experiments from "A Statistical Approach to Assessing Neural Network Robustness"☆12Updated 6 years ago
- OpenAI gym agents learning using Natural Evolution Strategies (NES)☆10Updated 4 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆21Updated 6 years ago
- Implementation of SPW and DPW for Monte Carlo Tree Search in Continuous action/state space☆17Updated last year
- 🦾Distributed Natural Evolution Strategies Build with PyTorch and Ray☆17Updated 6 years ago
- Online Planner Selection with Graph Neural Networks and Adaptive Scheduling (AAAI 2020)☆35Updated 2 years ago
- Meta-Reinforcement Learning with Policy Residual Representation☆11Updated 5 years ago
- Scalable MCTS for team scenarios☆16Updated 9 months ago