For deep RL and the future of AI.
☆1,505Mar 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
Sorting:
- Reinforcement learning resources curated☆9,590May 25, 2023Updated 2 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,743Feb 11, 2026Updated 3 weeks ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,413Apr 16, 2024Updated last year
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,651Aug 1, 2024Updated last year
- A Platform for Many-Agent Reinforcement Learning☆1,758Oct 22, 2022Updated 3 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,163Dec 8, 2022Updated 3 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,569Aug 9, 2024Updated last year
- 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
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,048Jun 10, 2023Updated 2 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
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆735Apr 12, 2023Updated 2 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,733Apr 9, 2024Updated last year
- An elegant PyTorch deep reinforcement learning library.☆10,305Dec 1, 2025Updated 3 months ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,471Dec 7, 2022Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,868Jun 17, 2024Updated last year
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,926Jul 25, 2024Updated last year
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,559Apr 11, 2022Updated 3 years ago
- A list of recent papers regarding deep reinforcement learning☆2,199Jun 15, 2016Updated 9 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆788May 29, 2022Updated 3 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,325Sep 4, 2022Updated 3 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
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,723Sep 8, 2022Updated 3 years ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,295Feb 20, 2026Updated 2 weeks ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,121Oct 13, 2017Updated 8 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,940Apr 1, 2024Updated last year
- An educational resource to help anyone learn deep reinforcement learning.☆11,627Aug 5, 2024Updated last year
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,164Nov 4, 2021Updated 4 years ago
- Implementation of benchmark RL algorithms☆472Jul 20, 2022Updated 3 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,405Updated this week
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆358Apr 1, 2019Updated 6 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
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,684Feb 12, 2026Updated 3 weeks ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,556May 25, 2024Updated last year
- Noisy Networks for Exploration☆187Jan 28, 2018Updated 8 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆227Oct 3, 2023Updated 2 years ago
- A course in reinforcement learning in the wild☆6,454Updated this week
- OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.☆5,046Feb 20, 2026Updated 2 weeks ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆690Jun 5, 2018Updated 7 years ago