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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Improved off-policy training of diffusion samplers NIPS 2024
The surprising efficiency of temporal difference learning for rare event prediction NIPS 2024
QGFN: Controllable Greediness with Action Values NIPS 2024
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NIPS 2024
A Structure-Aware Framework for Learning Device Placements on Computation Graphs NIPS 2024
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model NIPS 2024
Leveraging Separated World Model for Exploration in Visually Distracted Environments NIPS 2024
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework NIPS 2024
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation NIPS 2024
Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear $q^\pi$-Realizability and Concentrability NIPS 2024
One-Shot Safety Alignment for Large Language Models via Optimal Dualization NIPS 2024
Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning NIPS 2024
ORPO: Monolithic Preference Optimization without Reference Model EMNLP 2024
Prior-dependent analysis of posterior sampling reinforcement learning with function approximation AISTATS 2024
BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment EMNLP 2024
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making NIPS 2024
Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic EMNLP 2024
Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning NIPS 2024
Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL AISTATS 2024
Causal Imitation for Markov Decision Processes: a Partial Identification Approach NIPS 2024
LIONs: An Empirically Optimized Approach to Align Language Models EMNLP 2024
MetaReflection: Learning Instructions for Language Agents using Past Reflections EMNLP 2024
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning NIPS 2024
When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback NIPS 2024
Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection NIPS 2024