Simple-MADRL-Chess VS machin

Compare Simple-MADRL-Chess vs machin 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)
Chess Deep Learning Environment madrl multiagent-reinforcement-learning Ppo Pytorch reinforcement-learning
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machin

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ... (by iffiX)
reinforcement-learning Deep Learning Pytorch pytorch-reinforcement-learning Dqn Ddpg sac Ppo td3 prioritized-experience-replay Distributed a3c-pytorch Python pytorch-lightning
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Simple-MADRL-Chess machin
1 2
10 389
- -
7.2 1.8
about 1 year ago almost 3 years ago
Python Python
MIT License MIT License
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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.

machin

Posts with mentions or reviews of machin. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-30.

What are some alternatives?

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

warp-drive - Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

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

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

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

Apache Impala - Apache Impala

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

RL-Adventure - Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

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.

tianshou - An elegant PyTorch deep reinforcement learning library.

ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥

Simple-MADRL-Chess vs warp-drive machin vs stable-baselines3 Simple-MADRL-Chess vs PPO-PyTorch machin vs cleanrl Simple-MADRL-Chess vs R-NaD machin vs Apache Impala Simple-MADRL-Chess vs Super-mario-bros-PPO-pytorch machin vs RL-Adventure Simple-MADRL-Chess vs PantheonRL machin vs tianshou Simple-MADRL-Chess vs cleanrl machin vs ElegantRL