XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
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Updated
Jun 24, 2024 - Python
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
An elegant PyTorch deep reinforcement learning library.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Massively Parallel Deep Reinforcement Learning. 🔥
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
RL algorithm for stock trading with multiple reward functions
Modularized Implementation of Deep RL Algorithms in PyTorch
A PyTorch library for building deep reinforcement learning agents.
Deep reinforcement learning experiments
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
Reinforcement Learning for Elden Ring on Windows11
Third homework for the Reinforcement Learning course
PyGame-based quadcopter simulator & Reinforcement Learning Project
My MSc project on applying, tuning and modifying the PPO and A2C algorithms to Pettingzoo MARL library two player poker game
Implementation of some Deep Reinforcement Learning algorithms and environments.
Custom Reinforcement Learning Agents
A collection of RL algorithms written in PyTorch
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