Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
☆3,556May 25, 2024Updated last year
Alternatives and similar repositories for higgsfield
Users that are interested in higgsfield are comparing it to the libraries listed below
Sorting:
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,164Nov 4, 2021Updated 4 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,876May 29, 2022Updated 3 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,413Apr 16, 2024Updated last year
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,656Aug 1, 2024Updated last year
- Collection of reinforcement learning algorithms☆2,873Jun 17, 2024Updated last year
- A course in reinforcement learning in the wild☆6,454Updated this week
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆21,903Jul 13, 2023Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,274Jan 4, 2021Updated 5 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,325Sep 4, 2022Updated 3 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,048Jun 10, 2023Updated 2 years ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,163Apr 22, 2023Updated 2 years ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,684Feb 12, 2026Updated 3 weeks ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,660Jan 13, 2022Updated 4 years ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,148Nov 16, 2023Updated 2 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,019Mar 13, 2019Updated 6 years ago
- Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.☆10,845Nov 4, 2024Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,037Jul 14, 2023Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,081May 19, 2021Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,273Feb 9, 2021Updated 5 years ago
- TensorFlow Reinforcement Learning☆3,135Dec 8, 2022Updated 3 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,577Aug 9, 2024Updated last year
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,924Jul 25, 2024Updated last year
- An educational resource to help anyone learn deep reinforcement learning.☆11,627Aug 5, 2024Updated last year
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,311Jul 31, 2024Updated last year
- Reinforcement learning resources curated☆9,594May 25, 2023Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,409Nov 29, 2023Updated 2 years ago
- Soft Actor-Critic☆1,222Nov 29, 2023Updated 2 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,122Oct 13, 2017Updated 8 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,336Updated this week
- A toolkit for reproducible reinforcement learning research.☆2,084May 4, 2023Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,316Sep 25, 2019Updated 6 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,585Mar 24, 2023Updated 2 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,619Mar 24, 2023Updated 2 years ago
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆378Nov 19, 2022Updated 3 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆876Dec 27, 2022Updated 3 years ago
- A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.☆1,045Jun 21, 2018Updated 7 years ago
- Deep Reinforcement Learning with pytorch & visdom☆804Jul 16, 2020Updated 5 years ago
- A toolkit for developing and comparing reinforcement learning algorithms.☆37,078Oct 11, 2024Updated last year
- Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning☆4,694Jun 30, 2020Updated 5 years ago