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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation NIPS 2024
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking NIPS 2024
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads NIPS 2024
Learning to Assist Humans without Inferring Rewards NIPS 2024
Improving Context-Aware Preference Modeling for Language Models NIPS 2024
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NIPS 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NIPS 2024
CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges ACL 2024
Adversarial Environment Design via Regret-Guided Diffusion Models NIPS 2024
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning NIPS 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NIPS 2024
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow NIPS 2024
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs NIPS 2024
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation AAAI 2024
Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners NIPS 2024
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? NIPS 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning NIPS 2024
Belief-State Query Policies for User-Aligned POMDPs NIPS 2024
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NIPS 2024
Goal Conditioned Reinforcement Learning for Photo Finishing Tuning NIPS 2024
DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling ACL 2024
Reinforced Cross-Domain Knowledge Distillation on Time Series Data NIPS 2024
Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation AISTATS 2024
SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies AAAI 2024
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection NIPS 2024