#world-models
- 10 Sept 2026 · Paper summary
Paper summary: Scaling Automatic Research Agents via World Models
RL for automatic-research agents is bottlenecked by slow, sandboxed experiment execution; World Model RL replaces execution with a learned world model plus debiasing and denoising, training 3–4× faster.
- 22 Jul 2026 · Paper summary
Paper summary: ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU
ABot-World-0 is an action-conditioned video world model for long, closed-loop interaction that streams 720p at up to 16 FPS on a single RTX 5090, with LongForcing to limit drift over long rollouts.
- 1 Jul 2026 · Paper summary
Paper summary: Orca: The World is in Your Mind
Orca learns one latent "world state" space from 125K hours of video and 160M event annotations via next-state prediction, and frozen, it supports text, image and robot-action readouts through small decoders.
- 24 Jun 2026 · Paper summary
Paper summary: Qwen-AgentWorld: Language World Models for General Agents
Qwen-AgentWorld models are language world models that predict how agent environments respond across 7 domains, trained on 10M+ real interaction trajectories, and are reported to outperform frontier models at simulation on a new benchmark.
- 28 May 2026 · Paper summary
Paper summary: Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players
Gamma-World is a generative world model for interactive video with many simultaneously controlled agents, using a parameter-free simplex rotary agent encoding and hub-token attention, distilled for real-time 24 FPS generation.
- 4 Aug 2023 · Paper summary
Paper summary: Learning to Model the World with Language
Dynalang treats language as a signal for predicting the future: an agent learns a multimodal world model and acts from imagined rollouts.