Directing Policy Search with Interactively Taught Via-Points. - Yannick Schroecker; Heni Ben Amor; Andrea Thomaz (AAMAS, 2016)

State Aware Imitation Learning. - Yannick Schroecker; Charles L. Isbell Jr. (NIPS, 2017)

State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning. - Himanshu Sahni; Saurabh Kumar; Farhan Tejani; Yannick Schroecker; Charles Lee Isbell Jr. (CoRR, 2017)

Generative predecessor models for sample-efficient imitation learning. - Yannick Schroecker; Mel Vecerík; Jonathan Scholz (ICLR (Poster), 2019)

Imitating Latent Policies from Observation. - Ashley D. Edwards; Himanshu Sahni; Yannick Schroecker; Charles L. Isbell Jr. (ICML, 2019)

Active Learning within Constrained Environments through Imitation of an Expert Questioner. - Kalesha Bullard; Yannick Schroecker; Sonia Chernova (IJCAI, 2019)

Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning. - Yannick Schroecker; Charles L. Isbell Jr. (CoRR, 2020)

Manipulating State Space Distributions for Sample-Efficient Imitation-Learning. - Yannick Schroecker (2020)

Meta-Gradients in Non-Stationary Environments. - Jelena Luketina; Sebastian Flennerhag; Yannick Schroecker; David Abel; Tom Zahavy; Satinder Singh 001 (CoLLAs, 2022)

Bootstrapped Meta-Learning. - Sebastian Flennerhag; Yannick Schroecker; Tom Zahavy; Hado van Hasselt; David Silver; Satinder Singh 001 (ICLR, 2022)

Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality. - Tom Zahavy; Yannick Schroecker; Feryal M. P. Behbahani; Kate Baumli; Sebastian Flennerhag; Shaobo Hou; Satinder Singh 001 (ICLR, 2023)

Human-Timescale Adaptation in an Open-Ended Task Space. - Jakob Bauer; Kate Baumli; Feryal M. P. Behbahani; Avishkar Bhoopchand; Nathalie Bradley-Schmieg; Michael Chang; Natalie Clay; Adrian Collister; Vibhavari Dasagi; Lucy Gonzalez; Karol Gregor; Edward Hughes 001; et al. (ICML, 2023)

Structured State Space Models for In-Context Reinforcement Learning. - Chris Lu 001; Yannick Schroecker; Albert Gu; Emilio Parisotto; Jakob N. Foerster; Satinder Singh 001; Feryal M. P. Behbahani (NeurIPS, 2023)

Human-Timescale Adaptation in an Open-Ended Task Space. - Adaptive Agent Team; Jakob Bauer; Kate Baumli; Satinder Baveja; Feryal M. P. Behbahani; Avishkar Bhoopchand; Nathalie Bradley-Schmieg; Michael Chang; Natalie Clay; Adrian Collister; Vibhavari Dasagi; Lucy Gonzalez; et al. (CoRR, 2023)

Vision-Language Models as a Source of Rewards. - Kate Baumli; Satinder Baveja; Feryal M. P. Behbahani; Harris Chan; Gheorghe Comanici; Sebastian Flennerhag; Maxime Gazeau; Kristian Holsheimer; Dan Horgan; Michael Laskin; Clare Lyle; Hussain Masoom; et al. (CoRR, 2023)