A curated list of Monte Carlo tree search papers with implementations.
-
Updated
Mar 16, 2024 - Python
A curated list of Monte Carlo tree search papers with implementations.
🧠🔗 From idea to production in just few lines: Graph-Based Programmable Neuro-Symbolic LM Framework - a production-first LM framework built with decade old Deep Learning best practices
Deep Reinforcement Learning in C#
[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"
Modular framework for Reinforcement Learning in python
Trading environnement for RL agents, backtesting and training.
EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Reinforcement Learning (ERL), AutoRL, and seamless integration with GPU-optimized simulation environments.
Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI
🚀一个结合了LSTM股票价格预测与强化学习交易策略的智能股票交易系统。通过深度学习对股市数据进行精准预测,并利用强化学习自动优化交易决策,实现了从数据获取、趋势预测到自动交易的全流程智能化。系统不仅提供了强大的数据处理和预测功能,还内置交互式可视化界面,帮助用户实时查看预测结果与交易决策,适用于多支股票的批量处理,帮助投资者更好地捕捉市场机会,提升交易效率与收益。
DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
ReinforceUI-Studio. A Python-based application designed to simplify the configuration and monitoring of RL training processes. Supporting MuJoCo, OpenAI Gymnasium, and DeepMind Control Suite. Algorithms included: CTD4, DDPG, DQN, PPO, SAC, TD3, TQC
Discover a curated list of projects complementing TensorTrade, distinct from those mentioned in its official documentation. Contributions are welcome; if you spot a missing project, please submit a pull request!
A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments
A minecraft mod which aims to add a "second player" into the game which will actually be intelligent.
Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
A well-documented A2C written in PyTorch
🐍 🏋 OpenAI GYM for Nintendo NES emulator FCEUX and 1983 game Mario Bros. + Double Q Learning for mastering the game
Add a description, image, and links to the reinforcement-learning-agent topic page so that developers can more easily learn about it.
To associate your repository with the reinforcement-learning-agent topic, visit your repo's landing page and select "manage topics."