pytorch-ddpg
pomdp-baselines
| pytorch-ddpg | pomdp-baselines | |
|---|---|---|
| 1 | 5 | |
| 0 | 275 | |
| - | - | |
| 0.0 | 4.3 | |
| about 3 years ago | 7 months ago | |
| Python | Python | |
| MIT License | MIT License |
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pytorch-ddpg
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Recurrent DDPG is not working
Hi everyone, I'm recently coding a recurrent version of DDPG in PyTorch for my own research, but it's not working. I would really appreciate it if someone could help me look at my repo: https://github.com/zhihanyang2022/pytorch-ddpg.
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?
muzero-general - MuZero
tianshou - An elegant PyTorch deep reinforcement learning library.
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥
handwriting-synthesis - Handwriting Synthesis with RNNs ✏️
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).
minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
recurrent-ppo-truncated-bptt - Baseline implementation of recurrent PPO using truncated BPTT
machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Fleet-AI - Using Reinforcement Learning to play Battleship