206 citations · 340 across the 26 of their papers we have counts for
4 papers · 1 filter
Co-design Gym: A Unified Benchmark for Embodiment-Policy Co-optimization
Aviraj Newatia, Yordan Tsvetkov, Leonard Pleiss +2
Finding an optimal behaviour policy within a given environment is a widely studied problem in domains as diverse as games, robotics, energy infrastructure, communication networks,…
Causal-PIK: Causality-based Physical Reasoning with a Physics-Informed Kernel
Carlota Parés-Morlans, Michelle Yi, Claire Chen +4
Tasks that involve complex interactions between objects with unknown dynamics make planning before execution difficult. These tasks require agents to iteratively improve their acti…
Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control
Rika Antonova, Maksim Maydanskiy, Danica Kragic +2
We address the problem of learning reusable state representations from streaming high-dimensional observations. This is important for areas like Reinforcement Learning (RL), which…
Unlocking the Potential of Simulators: Design with RL in Mind
Rika Antonova, Silvia Cruciani
Using Reinforcement Learning (RL) in simulation to construct policies useful in real life is challenging. This is often attributed to the sequential decision making aspect: inaccur…