#curriculum learning

'Agent0 co-evolves a curriculum agent and an executor from the same base LLM, using sandboxed Python tool calls and ambiguity-aware RL to improve math and general reasoning without external data.'

'Step-by-step tutorial showing how to build an agentic Deep RL pipeline with a Dueling Double DQN, curriculum progression, adaptive exploration, and a UCB meta-agent that plans training.'

'Meta's DreamGym synthesizes environment interactions as text using a reasoning experience model and grounded replay memory, cutting real rollouts and boosting RL performance across web benchmarks.'

'A compact neural agent learns to plan, store and compose symbolic tools end-to-end with reinforcement learning, demonstrating emergent multi-step reasoning on synthetic arithmetic tasks.'

QwenLong-L1 introduces a structured reinforcement learning approach enabling large language models to excel at long-context reasoning tasks, achieving state-of-the-art results on multiple benchmarks.

'Alibaba’s ZeroSearch framework leverages reinforcement learning and simulated document generation to train language models for retrieval without relying on costly real-time search APIs, achieving performance comparable to or better than Google Search.'