DRIVE
Implementations accompanying research on dynamic reward incentives for variable exchange (DRIVE), a decentralized peer-incentivization mechanism for emergent cooperation under changing rewards.
REACT
Implementations and video demonstrations acompanying research on revealing evolutionary action consequence trajectories (REACT) for interpretable reinforcement learning.
Quantum Circuit Designer
A gymnasium-based set of environments for benchmarking reinforcement learning for state preparation and unitary composition in quantum circuit design.
Niryo Gymnasium
A reinforcement learning MuJoCo gymnasium environment for benchmarking robotic grasping using the Niryo-NED2 robot arm.
Emergence in Multi-Agent Systems
Implementations accompanying research on a safety persepective on emergence in multi-agent systems and mitigation techniques.
DIRECT
Implementations accompanying research on discriminative reward co-training (DIRECT), a self-imitation architecture for robust reinforcement learning from sparse rewards.
hyphi-gym
A Gymnasium benchmark suite for evaluating the robustness and multi-task performance of reinforcement learning algorithms in various discrete and continuous environments.
CROP
Implementations accompanying research on distributional-shift robust reinforcement learning using compact reshaped observation processing (CROP).
Karting Challenge
Unity project for a karting-based ML‑Agents challenge. Drive a kart around a modular track, collect rewards, and train agents to complete laps robustly across different track parts and obstacles.