Summary of May the Dance Be with You: Dance Generation Framework For Non-humanoids, by Hyemin Ahn
May the Dance be with You: Dance Generation Framework for Non-Humanoidsby Hyemin AhnFirst submitted to…
Summary of Ledex: Training Llms to Better Self-debug and Explain Code, by Nan Jiang et al.
LeDex: Training LLMs to Better Self-Debug and Explain Codeby Nan Jiang, Xiaopeng Li, Shiqi Wang,…
Summary of Efficient Learning in Chinese Checkers: Comparing Parameter Sharing in Multi-agent Reinforcement Learning, by Noah Adhikari and Allen Gu
Efficient Learning in Chinese Checkers: Comparing Parameter Sharing in Multi-Agent Reinforcement Learningby Noah Adhikari, Allen…
Summary of Why Reinforcement Learning in Energy Systems Needs Explanations, by Hallah Shahid Butt et al.
Why Reinforcement Learning in Energy Systems Needs Explanationsby Hallah Shahid Butt, Benjamin SchäferFirst submitted to…
Summary of Pytag: Tabletop Games For Multi-agent Reinforcement Learning, by Martin Balla et al.
PyTAG: Tabletop Games for Multi-Agent Reinforcement Learningby Martin Balla, George E.M. Long, James Goodman, Raluca…
Summary of Getting More Juice Out Of the Sft Data: Reward Learning From Human Demonstration Improves Sft For Llm Alignment, by Jiaxiang Li et al.
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT…
Summary of Hybrid Preference Optimization: Augmenting Direct Preference Optimization with Auxiliary Objectives, by Anirudhan Badrinath et al.
Hybrid Preference Optimization: Augmenting Direct Preference Optimization with Auxiliary Objectivesby Anirudhan Badrinath, Prabhat Agarwal, Jiajing…
Summary of Vision-and-language Navigation Generative Pretrained Transformer, by Wen Hanlin
Vision-and-Language Navigation Generative Pretrained Transformerby Wen HanlinFirst submitted to arxiv on: 27 May 2024CategoriesMain: Artificial…
Summary of Attaining Human`s Desirable Outcomes in Human-ai Interaction Via Structural Causal Games, by Anjie Liu et al.
Attaining Human`s Desirable Outcomes in Human-AI Interaction via Structural Causal Gamesby Anjie Liu, Jianhong Wang,…
Summary of An Evolutionary Framework For Connect-4 As Test-bed For Comparison Of Advanced Minimax, Q-learning and Mcts, by Henry Taylor et al.
An Evolutionary Framework for Connect-4 as Test-Bed for Comparison of Advanced Minimax, Q-Learning and MCTSby…