Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
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
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating the Dueling Double Deep Q-Network (D3QN) model with Long Short-Term Memory (LSTM) networks.
Deep Reinforcement Learning for mobile robot navigation in IR-SIM simulation. Using DRL (SAC, TD3, PPO, DDPG) neural networks, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
[NeurIPS 2025] RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning
[AAAI2024] A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning
From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
[AAAI 2026] - Official repo for paper: "Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't"
[NeurIPS 2025] Official code implementation of Perception R1: Pioneering Perception Policy with Reinforcement Learning
[ICML2026] VLAC: A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning
A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)
A simple and easy-to-use autonomous driving environment for reinforcement learning, based on the CARLA simulator.
📖 This is a repository for organizing papers, codes and other resources related to Visual Reinforcement Learning.
Repository for our ICLR 2023 paper: DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
This is a repository for reinforcement learning implementation based on Unitree Go2. Official implementation of RSS 2026.
This is a DRL(Deep Reinforcement Learning) platform built with Gazebo for the purpose of robot's adaptive path planning.
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind
Reinforcement learning on general 2D physics environments in JAX. ICLR 2025 Oral.
This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'
✨✨ [ICLR 2026] R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
Official implementation for pi0 steering via DSRL, Steering Your Diffusion Policy with Latent Space Reinforcement Learning (CoRL 2025)
General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning solver package for industrial control.
The offical repo for "Parallel-R1: Towards Parallel Thinking via Reinforcement Learning"
24,535 repositories in the index in total.
