Skip to content

PaperCodex

Subscribe

Deep Reinforcement Learning

XuanCe: A Unified Deep Reinforcement Learning Library for Reliable, Cross-Framework AI Development

XuanCe: A Unified Deep Reinforcement Learning Library for Reliable, Cross-Framework AI Development 1008

Deep reinforcement learning (DRL) holds immense promise—from robotic control and autonomous systems to multi-agent coordination and game AI. Yet for…

01/04/2026Deep Reinforcement Learning, Model-Based Reinforcement Learning, Multi-Agent Reinforcement Learning
LightZero: One Lightweight Framework for MCTS + Deep Reinforcement Learning Across Games, Control, and Multi-Task Planning

LightZero: One Lightweight Framework for MCTS + Deep Reinforcement Learning Across Games, Control, and Multi-Task Planning 1481

If you’re evaluating tools for building intelligent agents that combine planning and learning—whether for games, robotics, scientific discovery, or general…

12/27/2025Deep Reinforcement Learning, Monte Carlo Tree Search, Multi-Task Planning
CleanRL: Readable, Reproducible, and Research-Ready Deep Reinforcement Learning in a Single File

CleanRL: Readable, Reproducible, and Research-Ready Deep Reinforcement Learning in a Single File 8496

If you’ve ever tried to understand how a deep reinforcement learning (DRL) algorithm truly works—only to get lost in layers…

12/18/2025Algorithm Prototyping, Deep Reinforcement Learning, Reproducible Research
Copyright © 2026 PaperCodex.
  • Facebook
  • YouTube
  • Twitter

PaperCodex