[Up-to-date] A curated list of resources on graph-empowered agents and agent-facilitated graph learning (Graphs Meet Agents).
Non-deterministic, human-like mouse and keyboard automation powered by reinforcement learning.
Deep Reinforcement Learning Texas Hold'em AI / 德州AI/深度强化学习德州扑克AI / 深度強化學習德州撲克AI - CFR, DQN, AlphaZero-style training
Train SLM to use Tools with RL
A robust Reinforcement Learning environment for the oink games. Compatible with OpenAI Gym interface.
A smart traffic light management dashboard using SUMO and reinforcement learning to simulate traffic flow, optimize signal timing, and improve vehicle movement at intersections.
Reinforcement learning Tetris bot
An interactive browser-based playground to learn reinforcement learning — from bandits to policy gradients. Watch 13 algorithms learn in real time across 4 environments (Bandit, GridWorld, CartPole, Rocket Landing), tune hyperparameters, and follow a built-in 10-chapter course. No backend, no account — just open and learn.
Sprite Garden
A high-density browser-based evolutionary ecosystem simulation combining swarm behaviour, reinforcement-learning-style commander control, environmental pressure, emergent cooperation, resource competition, pathogen dynamics, and research-inspired quality-diversity tracking.
A robust reinforcement learning framework for voicebot turn-level decision optimization. Utilizes offline RL techniques to learn from historical, noisy, and delayed feedback signals without deploying exploratory policies, ensuring safe and stable conversational improvement.
Bitcoin trading agent using Deep Q-Learning and synthetic market scenarios.
🏓 A self-learning Pong agent blending value-based and policy-based RL — playable in your terminal.
Automated Text Generation Using English Grammar (AI but AI is a Lie 😂, its Mathematics. AI, LLMs, because these keywords are trending 😂)
A Pong game which you can actually play with a sophisticated RL Agent !!
Deep Q-Network (DQN) agent trained to play Flappy Bird using PyTorch & Gymnasium — with experience replay, target network, and epsilon-greedy exploration.
A reinforcement learning agent that learns to play Pacman in a custom environment with a visual GUI.
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