The upcoming meeting, taking place on November 10 at Mila, will explore how we can collectively develop, govern, and deploy high-performing, reliable, and secure agentic systems by connecting academic researchers, industry experts, and practitioners.
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Valliappan CA
Alumni
Publications
Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning
Goal-conditioned reinforcement learning (GCRL) requires agents to learn effective state and goal representations, which represents a challen… (see more)ging problem, especially in high-dimensional vision-based environments, as differences in the observations can be uncorrelated with dynamical distances. Classical deep reinforcement learning techniques often fail to capture the alignment between state and goal spaces, requiring additional representation learning techniques. To address this, we propose
2026-03-01
World Models @ International Conference on Learning Representations (published)