For deep RL and the future of AI.
☆1,515Sep 20, 2026Updated last week
Alternatives and similar repositories for awesome-deep-rl
Users that are interested in awesome-deep-rl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Paper list of multi-agent reinforcement learning (MARL)☆4,880Feb 11, 2026Updated 7 months ago
- Reinforcement learning resources curated☆9,988May 25, 2023Updated 3 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,222Dec 8, 2022Updated 3 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,764Aug 1, 2024Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,456Apr 16, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- A Platform for Many-Agent Reinforcement Learning☆1,761Oct 22, 2022Updated 3 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,765Aug 9, 2024Updated 2 years ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆22,135Jul 13, 2023Updated 3 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,572Apr 11, 2022Updated 4 years ago
- Reinforcement Learning in PyTorch☆2,276Jan 4, 2021Updated 5 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,775Apr 9, 2024Updated 2 years ago
- An elegant PyTorch deep reinforcement learning library.☆10,997Apr 3, 2026Updated 5 months ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆754Jul 7, 2026Updated 2 months ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,904May 29, 2022Updated 4 years ago
- 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.
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,079Jun 10, 2023Updated 3 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,940Jul 25, 2024Updated 2 years ago
- A list of recent papers regarding deep reinforcement learning☆2,197Jun 15, 2016Updated 10 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,487Dec 7, 2022Updated 3 years ago
- Implementation of benchmark RL algorithms☆472Jul 20, 2022Updated 4 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,764Sep 8, 2022Updated 4 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆811May 29, 2022Updated 4 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,329Sep 4, 2022Updated 4 years ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,368Feb 20, 2026Updated 7 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,438Nov 29, 2023Updated 2 years ago
- An educational resource to help anyone learn deep reinforcement learning.☆11,977Aug 5, 2024Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,939Jun 17, 2024Updated 2 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,981Apr 1, 2024Updated 2 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆693Jun 5, 2018Updated 8 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆358Apr 1, 2019Updated 7 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,124Oct 13, 2017Updated 8 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,515Sep 10, 2026Updated 2 weeks ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,181Nov 4, 2021Updated 4 years ago
- 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.
- Awesome Game AI materials of Multi-Agent Reinforcement Learning☆981Jun 26, 2024Updated 2 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,368Feb 18, 2024Updated 2 years ago
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,703Updated this week
- DGN Code☆369Mar 25, 2023Updated 3 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,654Mar 24, 2023Updated 3 years ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆710May 18, 2024Updated 2 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆232Oct 3, 2023Updated 2 years ago