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AI Agents Break Rules Under Everyday Pressure

RL is more information inefficient than you thought

CS234: Reinforcement Learning Winter 2025

Agent Design Is Still Hard

SIMA 2: An Agent That Plays, Reasons, and Learns with You in Virtual 3D Worlds

Jasmine: A Simple, Performant and Scalable Jax-Based World Modeling Codebase

Show HN: Cancer diagnosis makes for an interesting RL environment for LLMs

Cursor Composer: Building a fast frontier model with RL

Agent Lightning: Train agents with RL (no code changes needed)

OpenAI at QCon AI NYC: Fine Tuning the Enterprise

At QCon AI NYC 2025, Will Hang from OpenAI unveiled Agent RFT—a cutting-edge reinforcement fine-tuning approach for tool-using agents. By optimizing prompts and tasks before model adjustments, Hang showcased effective strategies to enhance decision-making and efficiency, emphasizing a balanced grading system. The session revealed a future where smarter agents reduce latency and improve outcomes. By Andrew Hoblitzell

How do you keep agents aligned when tasks get messy?

You can now do FP8 reinforcement learning locally! (<5GB VRAM)

[P] Training RL agent to reach #1 in Teamfight Tactics through 100M simulated games

Thinking of creating an agent, need ideas

[P] SDLArch-RL is now compatible with Citra!!!! And we'll be training Street Fighter 6!!!

[P] RLHF (SFT, RM, PPO) with GPT-2 in Notebooks

[R] My RL agent taught itself a complete skill progression using only a “boredom” signal (no rewards)

[Deep Dive] How We Solved Poker: From Academic Bots to Superhuman AI (1998-2025)

Bosses said I had to learn agentic coding, so I made an open source zombie survival game that uses reinforcement learning

RL ReSearch

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DR-Tulu-8B

Xiaomi MiMo

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MiMo-7B-RL

DLR-RM

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stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

vwxyzjn

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cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

facebookresearch

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habitat-lab

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

microsoft

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qlib

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

google-deepmind

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mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Farama-Foundation

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Gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)