SOTAVerified

Reinforcement Learning (RL)

Reinforcement Learning (RL) involves training an agent to take actions in an environment to maximize a cumulative reward signal. The agent interacts with the environment and learns by receiving feedback in the form of rewards or punishments for its actions. The goal of reinforcement learning is to find the optimal policy or decision-making strategy that maximizes the long-term reward.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 15001–15050 of 15113 papers

TitleStatusHype
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach—0
Reinforcement Learning for Matrix Computations: PageRank as an Example—0
Reinforcement Learning Framework for Opportunistic Routing in WSNs—0
Distributed Reinforcement Learning via Gossip—0
Sample Complexity of Multi-task Reinforcement Learning—0
Temporal-Difference Learning to Assist Human Decision Making during the Control of an Artificial Limb—0
The Sample-Complexity of General Reinforcement Learning—0
Coevolutionary networks of reinforcement-learning agents—0
Evaluating State Representations for Reinforcement Learning of Turn-Taking Policies in Tutorial Dialogue—0
Generating Student Feedback from Time-Series Data Using Reinforcement Learning—0
Reinforcement Learning of Two-Issue Negotiation Dialogue Policies—0
Sequential Transfer in Multi-armed Bandit with Finite Set of Models—0
Model-Based Policy Gradients with Parameter-Based Exploration by Least-Squares Conditional Density Estimation—0
Efficient Reinforcement Learning in Deterministic Systems with Value Function Generalization—0
Probabilistic inverse reinforcement learning in unknown environments—0
Multi-Task Policy Search—0
Scaling Up Robust MDPs by Reinforcement Learning—0
Reinforcement learning with restrictions on the action set—0
The association problem in wireless networks: a Policy Gradient Reinforcement Learning approach—0
Direct Uncertainty Estimation in Reinforcement Learning—0
(More) Efficient Reinforcement Learning via Posterior Sampling—0
Reinforcement Learning for the Soccer Dribbling Task—0
Cover Tree Bayesian Reinforcement Learning—0
Regret Bounds for Reinforcement Learning with Policy Advice—0
Non Deterministic Logic Programs—0
A General Framework for Interacting Bayes-Optimally with Self-Interested Agents using Arbitrary Parametric Model and Model Prior—0
Model-based Bayesian Reinforcement Learning for Dialogue Management—0
Design for a Darwinian Brain: Part 2. Cognitive Architecture—0
ABC Reinforcement Learning—0
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems—0
A Greedy Approximation of Bayesian Reinforcement Learning with Probably Optimistic Transition Model—0
Toggling a Genetic Switch Using Reinforcement Learning—0
Hybrid Q-Learning Applied to Ubiquitous recommender system—0
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning—0
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning—0
Reinforcement learning for port-Hamiltonian systems—0
Weighted Likelihood Policy Search with Model Selection—0
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions—0
Transferring Expectations in Model-based Reinforcement Learning—0
Value Pursuit Iteration—0
On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization—0
Neurally Plausible Reinforcement Learning of Working Memory Tasks—0
Sketch-Based Linear Value Function Approximation—0
Algorithms for Learning Markov Field Policies—0
Bayesian Hierarchical Reinforcement Learning—0
Inverse Reinforcement Learning through Structured Classification—0
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress—0
Cost-Sensitive Exploration in Bayesian Reinforcement Learning—0
TACT: A Transfer Actor-Critic Learning Framework for Energy Saving in Cellular Radio Access Networks—0
Autonomous Reinforcement of Behavioral Sequences in Neural Dynamics—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PPGMean Normalized Performance0.76—Unverified
2PPOMean Normalized Performance0.58—Unverified