AtomComposer uses online RL with multi-composition training to discover up to 10x more valid 3D isomers on unseen chemical formulas than single-composition baselines.
Mankowitz, Jerry Li, Cosmin Paduraru, Sven Gowal, and Todd Hes- ter
4 Pith papers cite this work. Polarity classification is still indexing.
representative citing papers
D4RL supplies new offline RL benchmarks and datasets from expert and mixed sources to expose weaknesses in existing algorithms and standardize evaluation.
SV-DRO evolves parameter particles via task-optimality-gap Stein gradients inside DRO-MPC, yielding up to 3× higher success on contact-rich manipulation under parametric uncertainty.
RepMT-SAC uses spectral MDP decomposition to build a task-agnostic value-function core plus minimal task adjustment, yielding up to 30% better performance than baselines on quadcopter trajectory tasks with zero-shot in-distribution and few-shot out-of-distribution transfer.
citing papers explorer
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AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning
AtomComposer uses online RL with multi-composition training to discover up to 10x more valid 3D isomers on unseen chemical formulas than single-composition baselines.
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D4RL: Datasets for Deep Data-Driven Reinforcement Learning
D4RL supplies new offline RL benchmarks and datasets from expert and mixed sources to expose weaknesses in existing algorithms and standardize evaluation.
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Distributionally Robust Control via Stein Variational Inference for Contact-Rich Manipulation
SV-DRO evolves parameter particles via task-optimality-gap Stein gradients inside DRO-MPC, yielding up to 3× higher success on contact-rich manipulation under parametric uncertainty.
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Learning to Adapt: Representation-Based Reinforcement Learning for Multi-Task Skill Transfer
RepMT-SAC uses spectral MDP decomposition to build a task-agnostic value-function core plus minimal task adjustment, yielding up to 30% better performance than baselines on quadcopter trajectory tasks with zero-shot in-distribution and few-shot out-of-distribution transfer.