Measuring Fisher Information Accurately in Correlated Neural Populations. - Ingmar Kanitscheider; Ruben Coen Cagli; Adam Kohn; Alexandre Pouget (PLoS Comput. Biol., 2015)

Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems. - Ingmar Kanitscheider; Ila Fiete (NIPS, 2017)

Skill emergence and transfer in multi-agent environments. - Ingmar Kanitscheider; Bowen Baker; Todor M. Markov; Igor Mordatch (GECCO (Companion), 2019)

Kernel RNN Learning (KeRNL). - Christopher Roth; Ingmar Kanitscheider; Ila Fiete (ICLR (Poster), 2019)

Emergent Tool Use From Multi-Agent Autocurricula. - Bowen Baker; Ingmar Kanitscheider; Todor M. Markov; Yi Wu 013; Glenn Powell; Bob McGrew; Igor Mordatch (ICLR, 2020)

Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft. - Ingmar Kanitscheider; Joost Huizinga; David Farhi; William Hebgen Guss; Brandon Houghton; Raul Sampedro; Peter Zhokhov; Bowen Baker; Adrien Ecoffet; Jie Tang; Oleg Klimov; Jeff Clune (CoRR, 2021)

AutoDIME: Automatic Design of Interesting Multi-Agent Environments. - Ingmar Kanitscheider; Harri Edwards (CoRR, 2022)