PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
-
Updated
Dec 19, 2022 - Python
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
An index of algorithms for learning causality with data
Lightning
收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴(当前赛事、往期赛事、训练赛)、NLP会议时间、常用自媒体、GPU推荐等,持续更新中
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
Multi-turn dialogue baselines written in PyTorch
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project
Re-implementations of SOTA RL algorithms.
Some common recommendation system baseline, with description and link.
A well-documented A2C written in PyTorch
Deep Developmental Reinforcement Learning
京东JDD猪脸识别比赛
Baseline Python Scripts for Popular Kaggle Competitions
An OpenAI Gym and Reinforcement Learning Library built in Typescript
A TF2.0 implementation of RL baselines.
Jopara (Guarani-dominant mixed with Spanish) sentiment analysis corpus
Add a description, image, and links to the baselines topic page so that developers can more easily learn about it.
To associate your repository with the baselines topic, visit your repo's landing page and select "manage topics."