minimalRL
pomdp-baselines
| minimalRL | pomdp-baselines | |
|---|---|---|
| 5 | 5 | |
| 2,725 | 275 | |
| - | - | |
| 1.6 | 4.3 | |
| about 1 year ago | 7 months ago | |
| Python | Python | |
| MIT License | MIT License |
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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
pomdp-baselines
- Best recurrent RL library?
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In Latest Machine Learning Research, A Group at CMU Release a Simple and Efficient Implementation of Recurrent Model-Free Reinforcement Learning (RL) for Future Work to Use as a Baseline for POMDP Algorithms
Continue reading| Check out the paper, github link, project and reference article.
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[R] Recurrent Model-Free RL is a Strong Baseline for Many POMDPs
Code for https://arxiv.org/abs/2110.05038 found: https://github.com/twni2016/pomdp-baselines
What are some alternatives?
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥
tianshou - An elegant PyTorch deep reinforcement learning library.
Pytorch-PCGrad - Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
rlpyt - Reinforcement Learning in PyTorch
deep-RL-trading - playing idealized trading games with deep reinforcement learning
recurrent-ppo-truncated-bptt - Baseline implementation of recurrent PPO using truncated BPTT
ultimate-volleyball - 3D RL Volleyball environment built on Unity ML-Agents
machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...