Mega Lecture 91: Reinforcement Learning, Agents & OpenEnv @GPUMODE
Mega Lecture 91: Reinforcement Learning, Agents & OpenEnv  @GPUMODE
Uploaded January 2026 | Updated September 2026, 2 days ago
Thanks for joining the "Mini RL conference"

We have published all materials: github.com/meta-pytorch/OpenEnv/tree/main/gpu-mode-tutorial

Checkout Unsloth: github.com/unslothai/unsloth

TRL: github.com/huggingface/trl

Example Colab: colab.research.google.com/github/unslothai/notebooks/blob/main/nb/OpenEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.ipynb
Mega Lecture 91: Reinforcement Learning, Agents & OpenEnvLecture 36: CUTLASS and Flash Attention 3Lecture 71: [ScaleML Series] FlexOlmo: Open Language Models for Flexible Data Use[Live] ScaleML Series Day 5 — GPU Programming for Foundation ModelsFactorio Learning EnvironmentLecture 27: gpu.cpp - Portable GPU compute using WebGPULecture 1 How to profile CUDA kernels in PyTorchLecture 82 Helion: A high-level DSL for ML kernelsLecture 21: Scan Algorithm Part 2Lecture 103: Fundamentals of CuTe Layout Algebra and Category-theoretic InterpretationConsumer GPU performanceLecture 46: Distributed GEMM
GPU MODE |

Mega Lecture 91: Reinforcement Learning, Agents & OpenEnv

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