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Top 23 Python deep-reinforcement-learning Projects
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.Project mention: Coding K-Means Clustering using Python and NumPy | dev.to | 2022-09-22
ML From Scratch - An excellent Github repository containing implementations of many machine learning models and algorithms. Easy to understand and highly recommended.
Trax — Deep Learning with Clear Code and SpeedProject mention: [D] Paper Explained - Sparse is Enough in Scaling Transformers (aka Terraformer) | Video Walkthrough | reddit.com/r/MachineLearning | 2021-12-01
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Tensorforce: a TensorFlow library for applied reinforcement learning
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).Project mention: How does advantage estimation is done when episodes are of variable length in PPO? | reddit.com/r/reinforcementlearning | 2022-04-07
As an example look at "compute_returns" function here (and pay attention to how self.masks is used): https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail/blob/master/a2c_ppo_acktr/storage.py
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)Project mention: Does anyone know good python sources hardcoded of RL? | reddit.com/r/reinforcementlearning | 2022-05-15
MuZeroProject mention: Ask HN: What interesting problems are you working on? ( 2022 Edition) | news.ycombinator.com | 2022-09-16
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.Project mention: Self play environments | reddit.com/r/reinforcementlearning | 2021-11-26
Hi. I’ve decided to do a project to adapt an rl library to support self-play. This is a project so I can teach myself more about building rl systems. I’ve been considering working with the environment system from rlcard https://github.com/datamllab/rlcard/ but wonder if there are other more widely-used self play environment libraries. Thanks.
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High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)Project mention: CartPole Swing RL task | reddit.com/r/reinforcementlearning | 2022-08-18
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras (by keon)
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.Project mention: SAC: Enforcing Action Bounds formula derivation | reddit.com/r/reinforcementlearning | 2022-01-26
Code for https://arxiv.org/abs/1812.05905 found: https://github.com/rail-berkeley/softlearning
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.Project mention: How do I run a Pygame Image visually? | reddit.com/r/docker | 2022-06-12
Accessing host graphics with docker is tricky. If you’re running the container on a unix system, you could try this medium article. This Dockerfile also has setup instructions for unix and macos.
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.Project mention: [D] Looking for open source projects to contribute | reddit.com/r/MachineLearning | 2022-01-09
There are plenty of them out there. I spend a lot of time contributing to open source projects like Habitat-Sim https://github.com/facebookresearch/habitat-sim and Habitat-Lab https://github.com/facebookresearch/habitat-lab which have a ton of open issues and code maintaince stuff that we would welcome contributions of.
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).Project mention: Agent-based modeling in applied economics? | reddit.com/r/AskEconomics | 2022-07-06
3 Area of Reinforcement learning, in particular, has demonstrated impressive breakthroughs recently. There were attempts to apply it to economic policy planning and finance
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorchProject mention: A2C/PPO with continuous action space | reddit.com/r/reinforcementlearning | 2021-12-19
In some methods, like the one here, the actor network has two heads, one for the mean and one for the variance. In other methods, like the one here, the network only outputs the mean, while the variance is pre-defined and is decaying throughout the training.
An offline deep reinforcement learning libraryProject mention: Python libraries for solving reinforcement learning problems implemented in OpenAI gym | reddit.com/r/reinforcementlearning | 2022-01-20
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agentProject mention: crypto-rl: Retrieve limit order book level data from coinbase pro and bitfinex -> record in [arctic](https://github.com/man-group/arctic) timeseries database then implemented trend following strategies (market orders) and market making (limit orders) | reddit.com/r/algoprojects | 2022-07-16
A PyTorch library for building deep reinforcement learning agents.
The SSBM "Phillip" AI.Project mention: [P] Imitation Learning (+RL) in Super Smash Bros Melee for Humanlike Agents | reddit.com/r/MachineLearning | 2022-08-22
Project Nabla is an AI trained with deep neural networks using behavioral cloning and deep reinforcement learning self-play, similar to AlphaStar. It is enabled by the recent launch of a suite of software tools for the game known as "Slippi" which allow for us to save human replays. We train on a subset of ~100k tournament games. It is similar to the older Phillip project, which did not have the benefit of Slippi when it was created (and doesn't use any human replays).
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
playing idealized trading games with deep reinforcement learningProject mention: deep-RL-trading: trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916) Deep Learning And Reinforcement Learning - star count:301.0 | reddit.com/r/algoprojects | 2022-04-09
Environments for OR and RL ResearchProject mention: Gym like frameworks for combinatorial optimization on Graphs? | reddit.com/r/reinforcementlearning | 2022-06-15
How about ORGym: https://github.com/hubbs5/or-gym ?
Code for "Gradient Surgery for Multi-Task Learning"
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Python deep-reinforcement-learning related posts
Coding K-Means Clustering using Python and NumPy
1 project | dev.to | 22 Sep 2022
[P] Imitation Learning (+RL) in Super Smash Bros Melee for Humanlike Agents
1 project | reddit.com/r/MachineLearning | 22 Aug 2022
Agent-based modeling in applied economics?
1 project | reddit.com/r/AskEconomics | 6 Jul 2022
Gym like frameworks for combinatorial optimization on Graphs?
2 projects | reddit.com/r/reinforcementlearning | 15 Jun 2022
Does anyone know good python sources hardcoded of RL?
1 project | reddit.com/r/reinforcementlearning | 15 May 2022
Show HN: Catchy melodies made with a diffusion-based neural net assistant
2 projects | news.ycombinator.com | 11 May 2022
Balsa: Learning a Query Optimizer Without Expert Demonstrations
1 project | news.ycombinator.com | 4 May 2022
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