Author

Ashok Prasad Neupane

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#artificial intelligence Preprint Oct 2026

iADD: Improving Alignment and Diversity in Diffusion Policy Optimization

Reinforcement learning based post training of diffusion models, such as Denoising Diffusion Policy Optimization (DDPO), optimizes a reverse diffusion process under a reward function. However, current approaches to reward optimizations do so at the cost of diversity and quality. In this paper, we provide better tradeoff...

Ashok Prasad Neupane, Saugat Adhikari, Pramish Paudel et al. · 0 citations

Preprint Aug 2026

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation

iARCS is presented, an iterative agentic reinforcement learning framework that adapts a pretrained scene generator to naturallanguage task requirements and shows that data generated by iARCS improves a base generator, supporting its value as a practical synthetic data generation tool rather than only a controllable sce...

Saugat Adhikari, Ashok Prasad Neupane, Pramish Paudel et al. · 1 citation