Simple-MADRL-Chess VS warp-drive

Compare Simple-MADRL-Chess vs warp-drive and see what are their differences.

Simple-MADRL-Chess

MADRL project solving chess environment using PPO with two different methods: 2 agents/networks and a single agent/network. (by mhyrzt)

warp-drive

Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022) (by salesforce)
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Simple-MADRL-Chess warp-drive
1 1
10 435
- 1.1%
7.2 8.1
about 1 year ago 25 days ago
Python Python
MIT License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Simple-MADRL-Chess

Posts with mentions or reviews of Simple-MADRL-Chess. We have used some of these posts to build our list of alternatives and similar projects.

warp-drive

Posts with mentions or reviews of warp-drive. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Simple-MADRL-Chess and warp-drive you can also consider the following projects:

PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

TransformerEngine - A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

R-NaD - Experimentation with Regularized Nash Dynamics on a GPU accelerated game

simba-ps - Fast deterministic all-Python Lennard-Jones particle simulator that utilizes Numba for GPU-accelerated computation.

Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

torchrec - Pytorch domain library for recommendation systems

PantheonRL - PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.

chainer - A flexible framework of neural networks for deep learning

cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

jittor - Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

chesscog - Determining chess game state from an image.

cog - Containers for machine learning