anyscale / ray-summit-2022-training
This is the GitHub Repo for Ray Summit Training 2022
☆16Updated 2 years ago
Alternatives and similar repositories for ray-summit-2022-training:
Users that are interested in ray-summit-2022-training are comparing it to the libraries listed below
- An introductory tutorial about leveraging Ray core features for distributed patterns.☆78Updated last year
- Ray RLlib tutorial material☆116Updated 2 years ago
- RLlib tutorials☆65Updated 3 years ago
- RL-Bakery makes it easy to build production, large scale, batch Deep Reinforcement Learning applications.☆91Updated 4 months ago
- Distributed XGBoost on Ray☆147Updated 7 months ago
- ☆37Updated last year
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆37Updated last year
- Reinforcement learning algorithms in RLlib☆56Updated 9 months ago
- Demos using Ray Train☆12Updated 3 years ago
- Modular framework for Reinforcement Learning in python☆171Updated 2 years ago
- Ray tutorials from Anyscale☆598Updated last year
- Environments for OR and RL Research☆393Updated last year
- Keeping track of RL experiments☆160Updated 2 years ago
- fast + parallel AlphaZero in JAX☆92Updated last month
- ☆17Updated 4 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆193Updated 2 years ago
- Multi-objective Gymnasium environments for reinforcement learning☆305Updated 2 weeks ago
- An API conversion tool for popular external reinforcement learning environments☆151Updated last month
- Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)☆472Updated 6 months ago
- An OpenAI Gym environment for Inventory Control problems☆56Updated 4 years ago
- Efficient baselines for autocurricula in JAX.☆179Updated 5 months ago
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆113Updated 2 months ago
- The code for the SRDQN algorithm to train an agent for the beer game problem☆77Updated last year
- The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'☆84Updated 3 years ago
- Notebooks for the O'Reilly book "Learning Ray"☆277Updated 9 months ago
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆46Updated 3 years ago
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆27Updated 3 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆32Updated this week
- A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…☆39Updated 2 years ago
- Tabular methods for reinforcement learning☆36Updated 4 years ago