A plotter for reinforcement learning (RL)
☆238Dec 8, 2021Updated 4 years ago
Alternatives and similar repositories for rl-plotter
Users that are interested in rl-plotter are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆33Dec 8, 2023Updated 2 years ago
- Assignments for CS294-112.☆30Sep 11, 2019Updated 6 years ago
- DRLib:a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.☆562Apr 2, 2024Updated 2 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
- A parallel framework for population-based multi-agent reinforcement learning.☆551Dec 14, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,335Feb 20, 2026Updated 3 months ago
- ☆228Jun 4, 2023Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆88Apr 3, 2023Updated 3 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,195Dec 8, 2022Updated 3 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,561Apr 11, 2022Updated 4 years ago
- Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)☆25Oct 26, 2021Updated 4 years ago
- [NeurIPS 2021] Official implementation of paper "Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization".☆136Jan 29, 2024Updated 2 years ago
- Multi-Agent Reinforcement Learning☆11Jun 16, 2020Updated 5 years ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆19Aug 20, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Scalable Multi-Agent RL Training School for Autonomous Driving☆1,122Jan 31, 2025Updated last year
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆718Sep 24, 2024Updated last year
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆745May 23, 2022Updated 4 years ago
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,318Nov 28, 2024Updated last year
- ☆34Mar 24, 2023Updated 3 years ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆711May 18, 2024Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆26Feb 3, 2022Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆256May 3, 2020Updated 6 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,761Apr 9, 2024Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆296Feb 24, 2021Updated 5 years ago
- Official PyTorch code for "Sample Efficient Offline-to-Online Reinforcement Learning" in TKDE'23.☆16Aug 14, 2023Updated 2 years ago
- [IJCAI 2021] Solving Continuous Control with Episodic Memory☆15Apr 10, 2022Updated 4 years ago
- [ICML 2022] Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum☆11Jul 15, 2022Updated 3 years ago
- PyTorch implementation of soft actor critic☆941Jul 17, 2025Updated 10 months ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆59Aug 30, 2021Updated 4 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆452Oct 21, 2021Updated 4 years ago
- Environments with IC3Net paper☆15Jan 8, 2019Updated 7 years ago
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆13,308May 11, 2026Updated 2 weeks ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- This is the official implementation of Multi-Agent PPO (MAPPO).☆2,004Jul 18, 2024Updated last year
- An elegant PyTorch deep reinforcement learning library.☆10,720Apr 3, 2026Updated last month
- Multi-Agent Reinforcement Learning (MARL) papers☆298Sep 19, 2022Updated 3 years ago
- ☆16Jun 1, 2023Updated 2 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆30Oct 29, 2023Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,342Mar 13, 2025Updated last year
- A minimalist environment for decision-making in autonomous driving☆3,259May 10, 2026Updated 2 weeks ago