Dylan R. Ashley

3 papers · 2022–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (11)

Venues

ICML (2) AAAI (1)

Top co-authors

Jürgen Schmidhuber (3) Francesco Faccio (2) Yuandong Tian (1) Chao Huang (1) Miroslav Štrupl (1) Dmitrii Khizbullin (1) Wenyi Wang (1) Mingchen Zhuge (1) Zechun Liu (1) Vikas Chandra (1)

Research topics

Artificial Intelligence (3) Core AI (3) Machine Learning (2) Reinforcement Learning (2) Optimization & Theory (2) Computer Science (1) Natural Language Processing (1) Applications · Reinforcement Learning (1) Applications · Computer Science (1) Generation (1) Learning Types (1) Methods (1)

Keywords

reinforcement learning (1) policy optimization (1) convergence analysis (1) code generation (1) latent mdp (1) skip connection (1) global optimum (1) value iteration network (1) reward-weighted regression (1) agents (1) evaluation (1) 5000 layers (1) adaptive highway loss (1) dynamic transition kernel (1) hierarchical solution requirements (1) human evaluation baseline (1) implementation (1)

Papers

Agent-as-a-Judge: Evaluate Agents with Agents ICML 2025 Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning ICML 2025 Reward-Weighted Regression Converges to a Global Optimum AAAI 2022