Featured Article
Projects
Explore a technical case study on 'Reinforce Tactics,' a new RL environment where traditional game theory outperforms the latest LLMs by a massive margin, exposing critical flaws in token-based reasoning.
Read articleLong-running research initiatives and experiments
Active DevelopmentReinforce TacticsStrategy game made for RLA 2D strategy game built for exploring reinforcement learning strategies. Testing various RL algorithms in competitive multi-agent scenarios with complex state spaces.
Active DevelopmentMesozoic LabsBuilding robotic dinosaursBuilding robotic dinosaurs to explore biomechanics, locomotion, and control systems. Combining paleontology with modern robotics and machine learning for movement optimization.
Coming SoonCourtside DynamicsTeaching agents to rallyA progression of MuJoCo environments and deep reinforcement-learning tools working toward humanoid tennis. Moves from simple ball control through racket-and-wall tasks to an experimental two-humanoid curriculum.
Coming SoonDownforce RoboticsMaking decisions at speedBuilding a self-driving race car from the ground up. Implementing perception, planning, and control stacks with a focus on high-speed autonomous navigation and racing line optimization.
Explores how the ViZDoom platform drives advancements in embodied AI, detailing the evolution from standard Deep Q-Networks to hierarchical architectures capable of mastering complex, 3D environments
Read article
Explore DreamerV3, the AI that taught itself to find diamonds in Minecraft, revolutionizing reinforcement learning with its powerful world model.
Read article
Exploring training a drone with reinforcement learning, focusing on the trade-offs between sparse and dense rewards to achieve agile flight while avoiding unintended "reward hacking."
Read article
Discover the ultimate guide to contextual bandits, covering everything from core theory and key algorithms to a complete Python implementation with code for building powerful personalization and recommendation systems
Read article
A complete guide to the AutoDRIVE ecosystem. Learn to train self-driving car agents from scratch using reinforcement learning in this powerful Unity-based simulator.
Read article
Explore Agentic AI, the next frontier in machine learning. Discover how autonomous agents learn, act independently, and are revolutionizing the field of robotics.
Read article
Build a MuJoCo robot tennis simulation! Learn to set up a wall tennis environment, tackle physics/control challenges, understand its architecture, and improve it for robotics or reinforcement learning projects with MuJoCo
Read article
Understand how Visual Language Action Models (VLAs) let robots follow commands by fusing AI vision and language for action, demonstrated with a conceptual Python robotics simulation
Read article
A deep technical walkthrough of building a biomechanically faithful T-Rex in MuJoCo and training it to balance, walk, and hunt through three-stage curriculum learning with PPO — achieving a 96.7% bite success rate on commodity GPU hardware. Covers MJCF model design, Gymnasium environment architecture, reward engineering with mathematical formulations, and real training results from the Mesozoic Labs open-source project.
Read article
A walkthrough of reinforcement learning for stock trading with FinRL: the MDP and Bellman theory underneath it, building a trading environment, and training and backtesting agents with Stable-Baselines3.
Read article
Using reinforcement learning (RL), specifically Truncated Quantile Critics (TQC) and Deep Deterministic Policy Gradient (DDPG), to solve the Fetch environments in Gymnasium Robotics
Read article
A beginner's walkthrough of Model-Based Reinforcement Learning on Atari's Breakout: training an action-conditional world model that predicts frames, rewards and terminals, then learning a PPO policy entirely inside it with SimPLe
Read article
Discover how self-play can be used to train a reinforcement learning agent to master Connect 4, achieving advanced strategies without human intervention
Read article
Train an RL agent to master Atari's Pong with sparse rewards and high-dimensional inputs. Explore preprocessing, replay buffers, and performance-boosting strategies
Read article
Learn how to apply reinforcement learning to solve Gymnasium's Car Racing game, see how different algorithms perform, and explore whether discrete or continuous action spaces are better.
Read article
Explore how different On-Policy and Off-Policy reinforcement learning algorithms perform on Gymnasium's Lunar Lander
Read article
Learn how the Reinforcement Learning Algorithm Deep Q Learning (DQN) works and apply it to solve Gymnasium's Lunar Lander
Read articleNo posts match the current search.
Discover
Browse through our collection of past articles, experiments, and research findings.