RL_VVC_dataset
RL benchmarks
A collection of benchmarks and implementations for testing reinforcement learning-based Volt-VAR control algorithms
A Reinforcement Learning-based Volt-VAR Control Dataset
20 stars
1 watching
7 forks
Language: Python
last commit: over 2 years ago
Linked from 1 awesome list
hanjuku-kaso/awesome-offline-rlRelated projects:
| Repository | Description | Stars |
|---|---|---|
 rll-research/url_benchmark | A benchmark suite for unsupervised reinforcement learning agents, providing pre-trained models and scripts for testing and fine-tuning agent performance. | 332 |
 google-research/deep_ope | A set of pre-trained reinforcement learning policies and benchmarking data for offline model selection in reinforcement learning. | 85 |
 alex-petrenko/sample-factory | A high-throughput reinforcement learning library with optimized synchronous and asynchronous implementations of policy gradients. | 828 |
 conglu1997/v-d4rl | Provides pre-built datasets and code for offline reinforcement learning from visual observations using deep learning algorithms | 95 |
| google-research/rlds | A toolkit for storing and manipulating episodic data in reinforcement learning and related tasks. | 293 |
 ys-zong/vl-icl | A benchmarking suite for multimodal in-context learning models | 28 |
 pku-alignment/safety-gymnasium | A unified benchmark for safe reinforcement learning algorithms and environments. | 394 |
 rlworkgroup/garage | A toolkit for developing and evaluating reinforcement learning algorithms in a reproducible manner | 1,880 |
 volcengine/verl | A flexible and efficient reinforcement learning framework designed for large language models. | 315 |
 araffin/rl-tutorial-jnrr19 | A tutorial project providing an introduction to reinforcement learning with Stable Baselines3 | 615 |
 securitygames/oef | Provides tools and algorithms for developing reinforcement learning policies in game environments. | 3 |
 ikostrikov/pytorch-ddpg-naf | An implementation of reinforcement learning algorithms for continuous control tasks using deep neural networks. | 307 |
 jjkke88/rl_toolbox | A collection of reinforcement learning algorithms and tools for training agents in complex environments. | 43 |
 rle-foundation/rlexplore | Provides a unified toolkit for constructing, computing, and optimizing intrinsic reward modules in reinforcement learning | 366 |
 luchris429/purejaxrl | A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality | 722 |