…relabeled by a frontier teacher and used to update the model, drives sustained in-game milestone progress on Pokemon Red without resetting the environment between training iterations. View arXiv page View PDF…
…AI-generated summary Distillation-based acceleration has become foundational for making autoregressive streaming video diffusion models practical, with distribution matching distillation (DMD) as the de facto choice. Existing methods, however, train the…
…Stanislav Kirdey , Abstract Clark Hash is a compact, stateless codec that reduces neural embedding storage size by 32x through deterministic sparse projections and scalar quantization while maintaining high similarity accuracy. AI-generated…
…hyperbolic and Euclidean spaces, outperforming existing methods across multiple benchmarks. AI-generated summary Parameter-efficient adaptation of pretrained vision models is commonly performed through linear probes, prompts, low-rank updates, or lightweight…
…Finally, an LLM-based patcher executes the parameter update by applying layer-aware edits to the skill package. Evaluated on SpreadsheetBench Verified and WikiTableQuestions, SkillGrad consistently outperforms training-based skill evolution baselines…
…Model Training • Curate historical propagation datasets (social media rumor diffusion, scientific consensus shifts). • Train HeuristicOptimizer to predict optimal emission parameters given node states and historical resistance. Phase 3: Prototype Implementation • Integrate all…
…and challenges in credit assignment, which are addressed through A²TGPO that adapts information gain normalization, accumulation, and clipping for improved policy optimization. AI-generated summary Reinforcement learning for agentic large language models…
…Standard policy gradients pick up on this signal immediately, and within a few hundred updates the model converges to generating identical maximum-length paths for every user, with near-zero diversity. High…
…Procedural content generation, adaptive difficulty systems, player-behavior modeling, and AI-assisted testing all have the potential to improve both development efficiency and player experience. What I particularly like about articles like…
…When training a model with the combination of DeepSpeed ZeRO-3 + vLLM colocate + LoRA + GRPO , and configuring modules_to_save=["embed_tokens", "lm_head"] in the LoRA config (as shown below), I…