A gymnasium-compatible framework to create reinforcement learning (RL) environment for solving the optimal power flow (OPF) problem. Contains five OPF benchmark environments for comparable research.

Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL

grpo to train long form QA and instructions with long-form reward model

Socio-Emotional Reward Design for Intrinsically-Motivated Reinforcement Learning Agents

Common repository for our readings and discussions

The course teaches how to fine-tune LLMs using Group Relative Policy Optimization (GRPO)—a reinforcement learning method that improves model reasoning with minimal data. Learn RFT concepts, reward design, LLM-as-a-judge evaluation, and deploy jobs on the Predibase platform.

Code for the paper "Reward Design for Justifiable Sequential Decision-Making"; ICLR 2024

Bachelor's thesis on reward function design in RL-based BTC grid trading (PPO, Prospect Theory, CPCV)

Gymnasium RL environment for SQL query generation — reward signal design, hacking analysis, curriculum learning, structured task MDP

A structured skill for AI coding agents to design, review and diagnose robust machine learning systems — from baseline to production. Covers supervised learning, imitation, offline RL, online RL, self-play, and hybrid strategies. Includes reward design, curriculum, experimental governance, reproducibility, observability, safety, deployment, and rol