Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
☆2,023Apr 13, 2026Updated 3 weeks ago
Alternatives and similar repositories for rainbow-is-all-you-need
Users that are interested in rainbow-is-all-you-need are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆1,029May 30, 2025Updated 11 months ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,671Jan 13, 2022Updated 4 years ago
- Structural implementation of RL key algorithms☆517Apr 8, 2023Updated 3 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,176Nov 4, 2021Updated 4 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,936Jul 25, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,195Apr 22, 2023Updated 3 years ago
- An elegant PyTorch deep reinforcement learning library.☆10,632Apr 3, 2026Updated last month
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,081May 19, 2021Updated 4 years ago
- Reinforcement Learning in PyTorch☆2,274Jan 4, 2021Updated 5 years ago
- ☆14Jul 2, 2019Updated 6 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,426Apr 16, 2024Updated 2 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,619Mar 24, 2023Updated 3 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆9,679Apr 20, 2026Updated 2 weeks ago
- An educational resource to help anyone learn deep reinforcement learning.☆11,755Aug 5, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,898May 29, 2022Updated 3 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,640Aug 9, 2024Updated last year
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆13,216May 2, 2026Updated last week
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆497Apr 6, 2024Updated 2 years ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆21,991Jul 13, 2023Updated 2 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,562Apr 11, 2022Updated 4 years ago
- A PyTorch implementation of Rainbow DQN agent☆170Apr 23, 2018Updated 8 years ago
- Collection of reinforcement learning algorithms☆2,899Jun 17, 2024Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,339Mar 13, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,321Feb 20, 2026Updated 2 months ago
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆29Dec 8, 2022Updated 3 years ago
- A lightweight experimental logging library☆54Dec 23, 2025Updated 4 months ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,323Sep 4, 2022Updated 3 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,700Aug 1, 2024Updated last year
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,670May 25, 2024Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,064Jul 14, 2023Updated 2 years ago
- A easy to use API to store outputs from forward/backward hooks in Pytorch☆35Aug 19, 2019Updated 6 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,812Feb 11, 2026Updated 2 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,739Sep 8, 2022Updated 3 years ago
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆872Aug 12, 2024Updated last year
- A library of reinforcement learning components and agents☆3,981Apr 8, 2026Updated last month
- Python Multi-Agent Reinforcement Learning framework☆2,185Dec 8, 2022Updated 3 years ago
- ☆93Nov 15, 2019Updated 6 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,284Feb 9, 2021Updated 5 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆489Nov 19, 2021Updated 4 years ago