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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024
Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit AAAI 2024
Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively AAAI 2024
Limited Query Graph Connectivity Test AAAI 2024
Polarity Calibration for Opinion Summarization NAACL 2024
Discerning Temporal Difference Learning AAAI 2024
RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models NAACL 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model NIPS 2024
Text Diffusion with Reinforced Conditioning AAAI 2024
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming AAAI 2024
Active Reinforcement Learning for Robust Building Control AAAI 2024
ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation AAAI 2024
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads NIPS 2024
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward AAAI 2024
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning AAAI 2024
Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time NIPS 2024
Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training AAAI 2024
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation NIPS 2024
Advancing Open-Domain Conversational Agents - Designing an Engaging System for Natural Multi-Turn Dialogue EACL 2024
Robust Visual Imitation Learning with Inverse Dynamics Representations AAAI 2024
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking NIPS 2024
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024
Speculative Monte-Carlo Tree Search NIPS 2024
Learning Uncertainty-Aware Temporally-Extended Actions AAAI 2024