Records found: 8
'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.'
Step-Audio-EditX is an open-source 3B audio LLM that edits speech at the token level, enabling iterative, controllable changes to emotion, style, and paralinguistic cues through large-margin synthetic data and token-level PPO.
'Learn how to create a custom trading environment and train multiple RL agents with Stable-Baselines3, then evaluate and visualize their performance to find the best strategy.'
AREAL is a new asynchronous reinforcement learning system that significantly speeds up training of large reasoning models by separating generation and training processes, achieving up to 2.77× faster training without loss of accuracy.
Researchers introduce Regularized Policy Gradient (RPG), a novel framework leveraging KL divergence in off-policy reinforcement learning to significantly improve reasoning and training stability in large language models.
Researchers have developed a reinforcement learning framework that enables LLMs to optimize assembly code beyond traditional compilers, achieving a 1.47× speedup and 96% correctness on thousands of real-world programs.
'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.'
OpenPipe’s ART·E uses reinforcement learning to deliver faster, cheaper, and more accurate email question-answering, outperforming OpenAI’s o3 agent in key metrics.