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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

QGFN: Controllable Greediness with Action Values NIPS 2024
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback EMNLP 2024
Analytically Tractable Models for Decision Making under Present Bias AAAI 2024
Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation AAAI 2024
Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward AAAI 2024
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NIPS 2024
SAT-Based Tree Decomposition with Iterative Cascading Policy Selection AAAI 2024
Contextual Bandits with Budgeted Information Reveal AISTATS 2024
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games AISTATS 2024
Efficient Variational Sequential Information Control AISTATS 2024
Timing as an Action: Learning When to Observe and Act AISTATS 2024
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies AISTATS 2024
Resilient Constrained Reinforcement Learning AISTATS 2024
On learning history-based policies for controlling Markov decision processes AISTATS 2024
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems AISTATS 2024
Don’t Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024
Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation AISTATS 2024
EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization AAAI 2024
A Structure-Aware Framework for Learning Device Placements on Computation Graphs NIPS 2024
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024
Optimal Mechanism in a Dynamic Stochastic Knapsack Environment AAAI 2024
Online Learning of Decision Trees with Thompson Sampling AISTATS 2024
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024