xingtian is a componentized library for the development and verification of reinforcement learning algorithms
☆317Sep 12, 2023Updated 2 years ago
Alternatives and similar repositories for xingtian
Users that are interested in xingtian are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Scalable Multi-Agent RL Training School for Autonomous Driving☆1,125Jan 31, 2025Updated last year
- A Multi-agent Learning Framework☆62May 10, 2021Updated 5 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆553Dec 14, 2023Updated 2 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,198Dec 8, 2022Updated 3 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,562Apr 11, 2022Updated 4 years 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.
- C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.☆1,463Updated this week
- An elegant PyTorch deep reinforcement learning library.☆10,800Apr 3, 2026Updated 2 months ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆835Nov 29, 2022Updated 3 years ago
- ☆151Dec 9, 2024Updated last year
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆749May 23, 2022Updated 4 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆453Oct 21, 2021Updated 4 years ago
- PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. AAMAS 2024 (full paper with oral presenta…☆10Dec 27, 2023Updated 2 years ago
- Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention☆30May 2, 2022Updated 4 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,745Sep 8, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- DPDP☆106Jan 2, 2023Updated 3 years ago
- A Really Scalable RL Framework to 10k+ CPUs☆38Feb 29, 2024Updated 2 years ago
- Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…☆138Feb 3, 2021Updated 5 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Dec 1, 2019Updated 6 years ago
- ☆10Mar 10, 2021Updated 5 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Mar 14, 2021Updated 5 years ago
- A high-performance distributed training framework for Reinforcement Learning☆3,457Sep 13, 2025Updated 9 months ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,767Apr 9, 2024Updated 2 years ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,340Feb 20, 2026Updated 3 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆171Dec 8, 2022Updated 3 years ago
- Implementation of benchmark RL algorithms☆472Jul 20, 2022Updated 3 years ago
- DRL for Dynamic Vehicle Routing Problem with stochastic customer requests☆19Aug 28, 2023Updated 2 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,026Mar 13, 2019Updated 7 years ago
- ☆60Oct 23, 2022Updated 3 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆664Apr 6, 2021Updated 5 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Dec 17, 2019Updated 6 years ago
- A GitHub repository associated with paper "Learn to Earn: Enabling Coordination Within a Ride-Hailing Fleet"☆10Jun 22, 2020Updated 5 years ago
- Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games☆57Aug 30, 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.
- SMAC: The StarCraft Multi-Agent Challenge☆1,357Feb 18, 2024Updated 2 years ago
- ☆22Jul 15, 2020Updated 5 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,427Nov 29, 2023Updated 2 years ago
- For deep RL and the future of AI.☆1,509Mar 1, 2024Updated 2 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆233Oct 3, 2023Updated 2 years ago
- A large-scale multi-modal pre-trained model☆134Feb 7, 2023Updated 3 years ago
- Attention based model for learning to solve different routing problems☆1,369Aug 4, 2024Updated last year