A Population Based Reinforcement Learning Library based on PyTorch
☆27Mar 5, 2023Updated 3 years ago
Alternatives and similar repositories for pbrl
Users that are interested in pbrl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.☆55Sep 21, 2018Updated 8 years ago
- ☆26Aug 21, 2024Updated 2 years ago
- original source code of the ASE 2019 paper: Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning☆28Jun 8, 2020Updated 6 years ago
- ☆15Dec 6, 2023Updated 2 years ago
- Exploratory Data Analysis of Time Series Data and Forecasting using Naïve Approach, Moving Average Method, Simple Exponential Smoothenin…☆13Jul 2, 2018Updated 8 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆13Jun 26, 2020Updated 6 years ago
- Website for Quality-Diversity optimisation algorithms☆49Dec 17, 2025Updated 10 months ago
- ☆13Nov 29, 2021Updated 4 years ago
- A Django app to predict realtime stock market prices for NSE India and NYSE using LSTM.☆20Oct 26, 2021Updated 4 years ago
- I added selfplay functionality to openai gyms☆10Jan 16, 2021Updated 5 years ago
- Official repository for "Investigating Pre-Training Objectives for Generalization in Visual Reinforcement Learning" (ICML 2024)☆11Sep 16, 2025Updated last year
- ☆272Aug 24, 2026Updated last month
- A Hybrid Method of Exponential Smoothing and Recurrent Neural Networks for Multivariate Time Series Forecasting☆13Oct 25, 2022Updated 3 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆22Oct 3, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A profitable cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym☆11May 3, 2019Updated 7 years ago
- An environment based on JSBSIM aimed at one-to-one close air combat.☆14May 15, 2023Updated 3 years ago
- ☆12Oct 11, 2020Updated 6 years ago
- ☆15Jun 5, 2024Updated 2 years ago
- ☆12Dec 4, 2022Updated 3 years ago
- ☆13Sep 11, 2026Updated last month
- 哔哩哔哩常用API调用。☆18Aug 5, 2023Updated 3 years ago
- ☆13Oct 1, 2020Updated 6 years ago
- ☆15Dec 3, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This is a reimplementation of non-random initialization of DFL-CNN!☆15Feb 14, 2019Updated 7 years ago
- Fine-Grained Visual Classification for Plants & Flowers☆17Apr 8, 2019Updated 7 years ago
- Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.☆80Oct 31, 2021Updated 4 years ago
- ☆12Jun 7, 2018Updated 8 years ago
- ☆16Jun 1, 2023Updated 3 years ago
- Vector-based navigation using grid-like representations in artificial agents☆20Sep 25, 2018Updated 8 years ago
- Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)☆13Oct 8, 2018Updated 8 years ago
- Rewarded soups official implementation☆66Sep 27, 2023Updated 3 years ago
- This is our implementation of IntEL-Intent-aware Ranking Ensemble for Personalized Recommendation (SIGIR2023)☆24Nov 17, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Data Science in 30 Minutes #3 - Holt-Winters and exponential smoothing☆17Jun 20, 2016Updated 10 years ago
- ☆56Nov 10, 2022Updated 3 years ago
- Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)☆16Oct 23, 2021Updated 4 years ago
- Double Seasonal Exponential Smoothing using PyTorch + ES-RNN capabilities on top☆14May 14, 2020Updated 6 years ago
- PyTorch implementations of Reinforcement Learning algorithms in less than 200 lines☆10Apr 3, 2020Updated 6 years ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18May 29, 2022Updated 4 years ago
- Code for CVPR22 - Motron: Multimodal Probabilistic Human Motion Forecasting☆20Jun 4, 2024Updated 2 years ago