Microsoft's Debug-Gym is a Python-driven framework aimed at assessing capabilities of AI agents in handling practical ...

Creating a new kind of deep research tool is an attempt from OpenAI to reduce the heavy usage of existing deep research modes ...

RAGEN stands out not just as a technical contribution but as a conceptual step toward more autonomous, reasoning-capable AI ...

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL) Implementation of a ...

A simple experimental project using Proximal Policy Optimization (PPO) from OpenAI's Spinning Up library, applied to a custom Grid World environment for path planning.

A bipartisan bill aiming to crack down on unauthorized deepfakes has been reintroduced in the US Congress, with the support of the music industry and other creative sectors, joined this time by some ...

Reinforcement Learning RL has become a widely used post-training method for LLMs, enhancing capabilities like human alignment, long-term reasoning, and adaptability. A major challenge, however, is ...

GenSpark dynamically selects from nine LLMs, outperforming competitors like Manus AI (two models) and OpenAI Operator. This flexible model choice allows it to handle diverse tasks, from simple lookups ...