VAM: Verbalized Action Masking for Controllable Exploration in RL Post-Training -- A Chess Case Study | ScienceToStartup | ScienceToStartup

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References (19)

[1]

Generating Creative Chess Puzzles

2025Xidong Feng, Vivek Veeriah et al.

[2]

Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions

2025Vivek Veeriah, Federico Barbero et al.

[3]

Clip-Low Increases Entropy and Clip-High Decreases Entropy in Reinforcement Learning of Large Language Models

Founder's Pitch

"Enhance RL strategies in post-training for large language models using Verbalized Action Masking for efficient exploration control, notably in chess scenarios."

Reinforcement Learning•Score: 5•View PDF ↗

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VAM: Verbalized Action Masking for Controllable Exploration in RL Post-Training -- A Chess Case Study

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References (19)

Founder's Pitch

"Enhance RL strategies in post-training for large language models using Verbalized Action Masking for efficient exploration control, notably in chess scenarios."

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VAM: Verbalized Action Masking for Controllable Exploration in RL Post-Training -- A Chess Case Study

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References (19)

Founder's Pitch

"Enhance RL strategies in post-training for large language models using Verbalized Action Masking for efficient exploration control, notably in chess scenarios."

Commercial Viability Breakdown

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