Discrete Compositional Generation via General Soft Operators and Robust Reinforcement Learning

arXiv:2506.17007 · cs.LG · Submitted 2025-06-20 · Read on arXiv

cs.LG

Submitted: 2025-06-20

Updated: 2026-08-31

Code: https://github.com/marcojira/tgm

Terminology

• Regularization — 22× in this paper · explained in 3 episodes
• Reinforcement Learning — 11× in this paper · explained in 4 episodes
• Reward Function — 9× in this paper · explained in 2 episodes
• Robustness — 9× in this paper · explained in 5 episodes
• Transformer — 9× in this paper · explained in 2 episodes
• In International Conference on Machine Learning — 7× in this paper
• Consistency — 6× in this paper · explained in 3 episodes
• Actor — 4× in this paper · explained in 3 episodes
• Generative Model — 4× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Action Space — 2× in this paper · explained in 1 episode
• Credit assignment — 2× in this paper · explained in 3 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Green Fluorescent Protein — 2× in this paper
• In International Conference on Learning Representations — 2× in this paper
• Q-learning — 2× in this paper · explained in 3 episodes
• Reinforcement Learning (RL) — 2× in this paper · explained in 25 episodes
• Action Masking — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Natural Science and Engineering Research Council — 1× in this paper
• Soft Actor-Critic (SAC) — 1× in this paper · explained in 2 episodes

Sources

• Crystal-GFN: sampling crystals with desirable properties and constraints
• Your Policy Regularizer is Secretly an Adversary
• Soft Actor-Critic for Discrete Action Settings
• MolGAN: An implicit generative model for small molecular graphs
• MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
• Maximum Entropy RL (Provably) Solves Some Robust RL Problems
• Learning to Scale Logits for Temperature-Conditional GFlowNets
• Adam: A Method for Stochastic Optimization
• Proximal Policy Optimization Algorithms

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