Salesforce Enterprise Deep Research

AgentEvolver: Towards Efficient Self-Evolving Agent System

This is AI implementation (not official) of the DreamGym framework from the paper "Scaling Agent Learning via Experience Synthesis" (arXiv:2511.03773).

🛠️ DeepAgent: A General Reasoning Agent with Scalable Toolsets

Learning on the Job: An Experience-Driven, Self-Evolving Agent for Long-Horizon Tasks

A live stream development of RL tunning for LLM agents

Self-Reflection in LLM Agents: Effects on Problem-Solving Performance

ScienceWorld is a text-based virtual environment centered around accomplishing tasks from the standardized elementary science curriculum.

PyTorch-native post-training at scale

get things from one computer to another, safely

Code and implementations for the paper "AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning" by Zhiheng Xi et al.

Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework

verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

The code for paper "EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning"

KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality

Toolkit for evaluating the trustworthiness of generative foundation models.

Official repository for Beyond Binary Rewards: Training LMs to Reason about Their Uncertainty

The official repository of SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization

Demystifying Reinforcement Learning in Agentic Reasoning

Post-training with Tinker

[TMLR 2025] Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models