cszhangzhen/DRL4Recsys
quality grade F, 34 out of 100Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
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RL algorithms, environments, simulators and decision-making systems.
Signals: reinforcement-learning, deep-reinforcement-learning, rl, gymnasium, openai-gym, multi-agent-reinforcement-learning, imitation-learning
663 results
Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
A repository of high-performing hierarchical reinforcement learning models and algorithms.
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Reinforcement learning of wheel-legged robots based on Genesis
A reinforcement learning framework based on MLX.
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
A reinforcement learning environment for aircraft control using the JSBSim flight dynamics model
Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"
Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
🚀 A fast safe reinforcement learning library in PyTorch
A scalable asynchronous reinforcement learning implementation with in-flight weight updates.
Deep reinforcement learning based energy management strategy for hybrid electric vehicle
Packing irregular objects with deep reinforcement learning.
Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab
two wheel legged robot for IsaacLab - reinforcement learning
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
An easier PyTorch deep reinforcement learning library.
[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering
[ICLR 2026] Tree Search for LLM Agent Reinforcement Learning
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.
PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
A framework for Reinforcement Learning research.
An elegant PyTorch offline reinforcement learning library for researchers.
24,535 repositories in the index in total.