deep_control
minimalRL
| deep_control | minimalRL | |
|---|---|---|
| 1 | 5 | |
| 87 | 2,725 | |
| - | - | |
| 1.8 | 1.6 | |
| over 2 years ago | about 1 year ago | |
| Python | Python | |
| - | MIT License |
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deep_control
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Help on what could be wrong on my TD3?
So I am training with my own simulator from Unity connected to Open AI gym using TD3 adopted from this https://github.com/jakegrigsby/deep_control/blob/master/deep_control/td3.py
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?
autonomous-learning-library - A PyTorch library for building deep reinforcement learning agents.
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥
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 🚀
RLPack - Implementation of RL Algorithms built on top of PyTorch. Heavy workloads have been optimized with C++ backend.