policy-adaptation-during-deployment
minimalRL
policy-adaptation-during-deployment | minimalRL | |
---|---|---|
1 | 5 | |
109 | 2,725 | |
- | - | |
1.8 | 1.6 | |
over 3 years ago | about 1 year ago | |
Python | Python | |
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
policy-adaptation-during-deployment
-
Exploring Self-Supervised Policy Adaptation To Continue Training After Deployment Without Using Any Rewards
Code: https://github.com/nicklashansen/policy-adaptation-during-deployment
minimalRL
- Does anyone know good python sources hardcoded of RL?
-
Question about pseudocodes
Did you try minimalRL?
- Rl algorithm implemented
-
RL agent for simple games?
This github is great.
-
PPO+LSTM Implementation
Maybe this implementation helps: https://github.com/seungeunrho/minimalRL/blob/master/ppo-lstm.py
What are some alternatives?
Ne2Ne-Image-Denoising - Deep Unsupervised Image Denoising, based on Neighbour2Neighbour training
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥
envpool - C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
Pytorch-PCGrad - Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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
drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees
pomdp-baselines - Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
dmc2gymnasium - Gymnasium integration for the DeepMind Control (DMC) suite
deep-RL-trading - playing idealized trading games with deep reinforcement learning