Simple-MADRL-Chess
minimalRL
Simple-MADRL-Chess | minimalRL | |
---|---|---|
1 | 5 | |
10 | 2,725 | |
- | - | |
7.2 | 1.6 | |
about 1 year ago | about 1 year ago | |
Python | Python | |
MIT License | MIT License |
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Simple-MADRL-Chess
minimalRL
- Does anyone know good python sources hardcoded of RL?
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Question about pseudocodes
Did you try minimalRL?
- Rl algorithm implemented
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RL agent for simple games?
This github is great.
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PPO+LSTM Implementation
Maybe this implementation helps: https://github.com/seungeunrho/minimalRL/blob/master/ppo-lstm.py
What are some alternatives?
warp-drive - Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥
PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Pytorch-PCGrad - Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
R-NaD - Experimentation with Regularized Nash Dynamics on a GPU accelerated game
DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
rlpyt - Reinforcement Learning in PyTorch
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.
pomdp-baselines - Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
deep-RL-trading - playing idealized trading games with deep reinforcement learning