DeNA / HandyRLLinks
HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
☆302Updated 11 months ago
Alternatives and similar repositories for HandyRL
Users that are interested in HandyRL are comparing it to the libraries listed below
Sorting:
- Deep reinforcement learning with tensorflow2☆98Updated 8 months ago
- AI for google research football☆27Updated 5 years ago
- An out-of-the-box GUI tool for offline deep reinforcement learning☆101Updated 4 years ago
- SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection☆133Updated last year
- Kaggle Halite RL challenge - Provisional first place solution☆62Updated 4 years ago
- Matching python environment code for Lux AI 2021 Kaggle competition, and a gym interface for RL models.☆75Updated 4 years ago
- Simple Distributed Reinforcement Learning Framework(シンプルな分散強化学習フレームワーク)☆58Updated 2 months ago
- Deep reinforcement learning library built on top of Neural Network Libraries☆127Updated last year
- ☆361Updated this week
- Control section: Deep Reinforcement Learning framework☆276Updated 5 years ago
- My published benchmark for a Kaggle Simulations Competition☆28Updated 4 years ago
- Example implementation of Alpha Zero' s algotirhm on Jupyter notebook☆15Updated 6 years ago
- ☆106Updated 4 years ago
- Fast Flexible Replay Buffer Library (Mirror repository of https://gitlab.com/ymd_h/cpprb)☆74Updated last year
- Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード☆453Updated 2 years ago
- Tonic RL library☆419Updated last year
- PFRL: a PyTorch-based deep reinforcement learning library☆1,257Updated last month
- A collection of baselines for the MineRL environment/datasets & the NeurIPS 2021 MineRL competitions☆149Updated 4 years ago
- Lux AI environment interface for RLlib multi-agents☆12Updated 4 years ago
- Code for Kaggle and Offline Competitions☆291Updated 2 years ago
- An easy-to-use reinforcement learning library for research and education.☆176Updated last week
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆559Updated 2 years ago
- A PyTorch library for building deep reinforcement learning agents.☆653Updated last year
- RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.☆283Updated 2 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆121Updated last year
- This project was moved to: https://github.com/coax-dev/coax☆161Updated 3 years ago
- ☆50Updated 4 years ago
- My utility scripts for Kaggle competitions☆119Updated 4 years ago
- openAI gym env for reversi/othello game☆20Updated 2 years ago
- 書籍「つくりながら学ぶ!深層強化学習」のサポートリポジトリです☆353Updated 3 years ago