The Alberta Workloads for the SPEC CPU 2017 Benchmark Suite. - José Nelson Amaral; Edson Borin; Dylan R. Ashley; Caian Benedicto; Elliot Colp; Joao Henrique Stange Hoffmam; Marcus Karpoff; Erick Ochoa; Morgan Redshaw; Raphael Ernani Rodrigues (ISPASS, 2018)

Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return. - Craig Sherstan; Dylan R. Ashley; Brendan Bennett; Kenny Young; Adam White 001; Martha White; Richard S. Sutton (UAI, 2018)

Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods. - Craig Sherstan; Brendan Bennett; Kenny Young; Dylan R. Ashley; Adam White 001; Martha White; Richard S. Sutton (CoRR, 2018)

Learning to Select Mates in Evolving Non-playable Characters. - Dylan R. Ashley; Valliappa Chockalingam; Braedy Kuzma; Vadim Bulitko (CoG, 2019)

Learning to select mates in artificial life. - Dylan R. Ashley; Valliappa Chockalingam; Braedy Kuzma; Vadim Bulitko (GECCO (Companion), 2019)

Universal Successor Features for Transfer Reinforcement Learning. - Chen Ma; Dylan R. Ashley; Junfeng Wen; Yoshua Bengio (CoRR, 2020)

Does Standard Backpropagation Forget Less Catastrophically Than Adam? - Dylan R. Ashley; Sina Ghiassian; Richard S. Sutton (CoRR, 2021)

Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search. - Dylan R. Ashley; Anssi Kanervisto; Brendan Bennett (CoRR, 2021)

Automatic Embedding of Stories Into Collections of Independent Media. - Dylan R. Ashley; Vincent Herrmann; Zachary Friggstad; Kory W. Mathewson; Jürgen Schmidhuber (CoRR, 2021)

Reward-Weighted Regression Converges to a Global Optimum. - Miroslav Strupl; Francesco Faccio; Dylan R. Ashley; Rupesh Kumar Srivastava; Jürgen Schmidhuber (AAAI, 2022)

All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL. - Kai Arulkumaran; Dylan R. Ashley; Jürgen Schmidhuber; Rupesh Kumar Srivastava (CoRR, 2022)

Learning Relative Return Policies With Upside-Down Reinforcement Learning. - Dylan R. Ashley; Kai Arulkumaran; Jürgen Schmidhuber; Rupesh Kumar Srivastava (CoRR, 2022)

Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets. - Miroslav Strupl; Francesco Faccio; Dylan R. Ashley; Jürgen Schmidhuber; Rupesh Kumar Srivastava (CoRR, 2022)

On Narrative Information and the Distillation of Stories. - Dylan R. Ashley; Vincent Herrmann; Zachary Friggstad; Jürgen Schmidhuber (CoRR, 2022)

The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute. - Aleksandar Stanic; Dylan R. Ashley; Oleg Serikov; Louis Kirsch; Francesco Faccio; Jürgen Schmidhuber; Thomas Hofmann 001; Imanol Schlag (CoRR, 2023)

Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms. - Mohannad Alhakami; Dylan R. Ashley; Joel Dunham; Francesco Faccio; Eric Feron; Jürgen Schmidhuber (CoRR, 2024)

Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning. - Yuhui Wang 004; Qingyuan Wu; Weida Li; Dylan R. Ashley; Francesco Faccio; Chao Huang 015; Jürgen Schmidhuber (CoRR, 2024)

Agent-as-a-Judge: Evaluate Agents with Agents. - Mingchen Zhuge; Changsheng Zhao 002; Dylan R. Ashley; Wenyi Wang; Dmitrii Khizbullin; Yunyang Xiong; Zechun Liu; Ernie Chang; Raghuraman Krishnamoorthi; Yuandong Tian; Yangyang Shi; Vikas Chandra; et al. (CoRR, 2024)

Automatic Album Sequencing. - Vincent Herrmann; Dylan R. Ashley; Jürgen Schmidhuber (CoRR, 2024)

How to Correctly do Semantic Backpropagation on Language-based Agentic Systems. - Wenyi Wang; Hisham A. Alyahya; Dylan R. Ashley; Oleg Serikov; Dmitrii Khizbullin; Francesco Faccio; Jürgen Schmidhuber (CoRR, 2024)

Mindstorms in Natural Language-Based Societies of Mind. - Mingchen Zhuge; Haozhe Liu; Francesco Faccio; Dylan R. Ashley; Róbert Csordás; Anand Gopalakrishnan; Abdullah Hamdi; Hasan Abed Al Kader Hammoud; Vincent Herrmann; Kazuki Irie; Louis Kirsch; Bing Li 024; et al. (Comput. Vis. Media, 2025)

Upside Down Reinforcement Learning with Policy Generators. - Jacopo Di Ventura; Dylan R. Ashley; Vincent Herrmann; Francesco Faccio; Jürgen Schmidhuber (CoRR, 2025)

On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers. - Miroslav Strupl; Oleg Szehr; Francesco Faccio; Dylan R. Ashley; Rupesh Kumar Srivastava; Jürgen Schmidhuber (CoRR, 2025)

On the Distillation of Stories for Transferring Narrative Arcs in Collections of Independent Media. - Dylan R. Ashley; Vincent Herrmann; Zachary Friggstad; Jürgen Schmidhuber (IEEE Trans. Pattern Anal. Mach. Intell., 2025)