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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)

SWE-Grep and SWE-Grep-Mini: RL for Fast Multi-Turn Context Retrieval

Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR

Designing Agentic Loops

[D] Is it worth training a Deep RL agent to control DC motors instead of using PID?

How narrow do you guys build your agents? Agent Swarms

Can't we learn agents for free?

agents think too much?

[P] I trained an AI to beat the first level of Doom!

Building More Independent AI Agents: Let Them Plan for Themselves

Just started appreciating agents

When sensing defeat in chess, o3 tries to cheat by hacking its opponent 86% of the time. This is way more than o1-preview, which cheats just 36% of the time.

[R] Has anyone saved + reloaded a model’s internal state mid-inference to enable agent collaboration?

Xiaomi MiMo

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MiMo-7B-RL

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.

DLR-RM

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stable-baselines3

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

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)

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)