For deep RL and the future of AI.
☆1,511Mar 1, 2024Updated 2 years ago
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)☆4,832Feb 11, 2026Updated 3 months ago
- Reinforcement learning resources curated☆9,763May 25, 2023Updated 3 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,195Dec 8, 2022Updated 3 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,719Aug 1, 2024Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,425Apr 16, 2024Updated 2 years 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.
- A Platform for Many-Agent Reinforcement Learning☆1,758Oct 22, 2022Updated 3 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,658Aug 9, 2024Updated last year
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆22,019Jul 13, 2023Updated 2 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,561Apr 11, 2022Updated 4 years ago
- Reinforcement Learning in PyTorch☆2,275Jan 4, 2021Updated 5 years ago
- An elegant PyTorch deep reinforcement learning library.☆10,741Apr 3, 2026Updated last month
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,764Apr 9, 2024Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,901May 29, 2022Updated 4 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆747Apr 12, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,060Jun 10, 2023Updated 2 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,938Jul 25, 2024Updated last year
- A list of recent papers regarding deep reinforcement learning☆2,197Jun 15, 2016Updated 9 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,479Dec 7, 2022Updated 3 years ago
- Implementation of benchmark RL algorithms☆472Jul 20, 2022Updated 3 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,743Sep 8, 2022Updated 3 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆807May 29, 2022Updated 4 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,324Sep 4, 2022Updated 3 years ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,335Feb 20, 2026Updated 3 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.
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,425Nov 29, 2023Updated 2 years ago
- An educational resource to help anyone learn deep reinforcement learning.☆11,782Aug 5, 2024Updated last year
- Collection of reinforcement learning algorithms☆2,901Jun 17, 2024Updated last year
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,974Apr 1, 2024Updated 2 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆359Apr 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
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆693Jun 5, 2018Updated 7 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,458May 11, 2026Updated 2 weeks ago
- Awesome Game AI materials of Multi-Agent Reinforcement Learning☆960Jun 26, 2024Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- SMAC: The StarCraft Multi-Agent Challenge☆1,352Feb 18, 2024Updated 2 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,177Nov 4, 2021Updated 4 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
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,717May 25, 2024Updated 2 years ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆711May 18, 2024Updated 2 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,628Mar 24, 2023Updated 3 years ago
- DGN Code☆368Mar 25, 2023Updated 3 years ago