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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
2025Jaesung R. Park, Junsu Kim et al.
[4]
Outcome-based Exploration for LLM Reasoning
2025Yuda Song, Julia Kempe et al.
[5]
From Trial-and-Error to Improvement: A Systematic Analysis of LLM Exploration Mechanisms in RLVR
2025Jia Deng, Jie Chen et al.
[6]
Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess
2025Dongyoon Hwang, Hojoon Lee et al.
[7]
RL for Reasoning by Adaptively Revealing Rationales
2025Mohammad Hossein Amani, Aryo Lotfi et al.
[8]
BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning
2025Xuechen Zhang, Zijian Huang et al.
[9]
Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
2025Xumeng Wen, Zihan Liu et al.
[10]
Learning to Reason under Off-Policy Guidance
2025Jianhao Yan, Yafu Li et al.
[11]
Complete Chess Games Enable LLM Become A Chess Master
2025Yinqi Zhang, Xintian Han et al.
[12]
Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents
2024Yifan Song, Da Yin et al.
[13]
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
2024Zhihong Shao, Peiyi Wang et al.
[14]
Grandmaster-Level Chess Without Search
2024Anian Ruoss, Grégoire Delétang et al.
[15]
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback
2023John Yang, Akshara Prabhakar et al.
[16]
Let's Verify Step by Step
2023H. Lightman, Vineet Kosaraju et al.
[17]
Self-Refine: Iterative Refinement with Self-Feedback
2023Aman Madaan, Niket Tandon et al.
[18]
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
2022Hung Le, Yue Wang et al.
[19]
Training Verifiers to Solve Math Word Problems
2021K. Cobbe, Vineet Kosaraju et al.

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 LearningScore: 5View PDF ↗

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2.5

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