Aditya A. Ramesh

13 papers A* 4Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Mindstorms in Natural Language-Based Societies of Mind. Comput. Vis. Media 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, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piekos, Aditya A. Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber
2024	A*	`conf`	Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning. ICML Aditya A. Ramesh, Kenny John Young, Louis Kirsch, Jürgen Schmidhuber
2024	J	`jnl`	Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning. CoRR Aditya A. Ramesh, Kenny Young, Louis Kirsch, Jürgen Schmidhuber
2023	A*	`conf`	Goal-Conditioned Generators of Deep Policies. AAAI Francesco Faccio, Vincent Herrmann, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber
2023	J	`jnl`	Mindstorms in Natural Language-Based Societies of Mind. CoRR 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, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piekos, Aditya A. Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber
2023	A*	`conf`	The Benefits of Model-Based Generalization in Reinforcement Learning. ICML Kenny John Young, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber
2022	A*	`conf`	Exploring through Random Curiosity with General Value Functions. NeurIPS Aditya A. Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
2022	J	`jnl`	Exploring through Random Curiosity with General Value Functions. CoRR Aditya A. Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
2022	J	`jnl`	General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States. CoRR Francesco Faccio, Aditya A. Ramesh, Vincent Herrmann, Jean Harb, Jürgen Schmidhuber
2022	J	`jnl`	Goal-Conditioned Generators of Deep Policies. CoRR Francesco Faccio, Vincent Herrmann, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber
2022	J	`jnl`	Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits. Neural Comput. Aditya A. Ramesh, Paulo E. Rauber, Michelangelo Conserva, Jürgen Schmidhuber
2022	J	`jnl`	The Benefits of Model-Based Generalization in Reinforcement Learning. CoRR Kenny Young, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber
2020	J	`jnl`	Recurrent Neural-Linear Posterior Sampling for Non-Stationary Contextual Bandits. CoRR Aditya A. Ramesh, Paulo E. Rauber, Jürgen Schmidhuber