Optimal Design for Reward Modeling in RLHF
Paper
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2410.17055
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Published
AI & ML interests
None defined yet.
Team members
6
private
misovalko
authored
20
papers
2 months ago
Sharp Deviations Bounds for Dirichlet Weighted Sums with Application to analysis of Bayesian algorithms
Paper
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2304.03056
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Published
KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal
Paper
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2205.14211
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Published
Local and adaptive mirror descents in extensive-form games
Paper
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2309.00656
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Published
Model-free Posterior Sampling via Learning Rate Randomization
Paper
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2310.18186
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Published
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Paper
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2211.10515
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Published
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
Paper
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2305.18501
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Published
A New Bound on the Cumulant Generating Function of Dirichlet Processes
Paper
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2409.18621
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Published
VA-learning as a more efficient alternative to Q-learning
Paper
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2305.18161
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Published
Generalized Preference Optimization: A Unified Approach to Offline Alignment
Paper
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2402.05749
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Published
Preference Optimization with Multi-Sample Comparisons
Paper
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2410.12138
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Published
RL-finetuning LLMs from on- and off-policy data with a single algorithm
Paper
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2503.19612
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Published
A Provably Efficient Sample Collection Strategy for Reinforcement Learning
Paper
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2007.06437
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Published
Model-Free Learning for Two-Player Zero-Sum Partially Observable Markov Games with Perfect Recall
Paper
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2106.06279
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Published
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
Paper
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2106.13125
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Published
Broaden Your Views for Self-Supervised Video Learning
Paper
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2103.16559
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Published
UCB Momentum Q-learning: Correcting the bias without forgetting
Paper
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2103.01312
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Published
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
Paper
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2104.11186
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Published
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Paper
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2111.02338
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Published
Marginalized Operators for Off-policy Reinforcement Learning
Paper
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2203.16177
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Published