pyagents
minimalRL
pyagents | minimalRL | |
---|---|---|
1 | 5 | |
3 | 2,725 | |
- | - | |
4.8 | 1.6 | |
11 months ago | about 1 year ago | |
Python | Python | |
- | MIT License |
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pyagents
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Understanding RL – repo sharing
One improvement (especially from an OOP perspective) could be to have two abstract classes for on-policy and off-policy algorithms, as in general they behave differently (at training time). That's an abstraction I implemented in my own RL playground, feel free to take a look if you're interested: https://github.com/diegochine/pyagents
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?
ppo-implementation-details - The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥
trax - Trax — Deep Learning with Clear Code and Speed
Pytorch-PCGrad - Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
rlpyt - Reinforcement Learning in PyTorch
pomdp-baselines - Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
deep-RL-trading - playing idealized trading games with deep reinforcement learning
ultimate-volleyball - 3D RL Volleyball environment built on Unity ML-Agents
Fleet-AI - Using Reinforcement Learning to play Battleship
PCGrad - Code for "Gradient Surgery for Multi-Task Learning"
pytorch-ddpg - Deep deterministic policy gradient (DDPG) in PyTorch 🚀