Hands-On with NatureLM-audio: A No-Code Demo
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matthieu-geist
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Leverage the Average: an Analysis of KL Regularization in RL
Paper • 2003.14089 • Published • 2
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
Paper • 2305.13185 • Published
Nash Learning from Human Feedback
Paper • 2312.00886 • Published • 18
Gemini: A Family of Highly Capable Multimodal Models
Paper • 2312.11805 • Published • 49
On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
Paper • 2306.13649 • Published • 33
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View
Paper • 2401.11237 • Published
MusicRL: Aligning Music Generation to Human Preferences
Paper • 2402.04229 • Published • 17
Self-Improving Robust Preference Optimization
Paper • 2406.01660 • Published • 20
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games
Paper • 2212.14449 • Published
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
Paper • 2406.19185 • Published
Imitating Language via Scalable Inverse Reinforcement Learning
Paper • 2409.01369 • Published
Solving robust MDPs as a sequence of static RL problems
Paper • 2410.06212 • Published
Time-Constrained Robust MDPs
Paper • 2406.08395 • Published
RRLS : Robust Reinforcement Learning Suite
Paper • 2406.08406 • Published
Understanding Likelihood Over-optimisation in Direct Alignment Algorithms
Paper • 2410.11677 • Published • 1