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

Showing 41514200 of 15113 papers

TitleStatusHype
Horizon-Free Regret for Linear Markov Decision Processes0
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning0
Meta-operators for Enabling Parallel Planning Using Deep Reinforcement Learning0
Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning0
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis0
TeaMs-RL: Teaching LLMs to Generate Better Instruction Datasets via Reinforcement LearningCode0
Learning to Describe for Predicting Zero-shot Drug-Drug InteractionsCode0
HRLAIF: Improvements in Helpfulness and Harmlessness in Open-domain Reinforcement Learning From AI Feedback0
Adaptive Gain Scheduling using Reinforcement Learning for Quadcopter ControlCode0
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware PerspectiveCode0
Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning0
In-context Exploration-Exploitation for Reinforcement Learning0
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation0
ε-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment0
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts0
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning0
(N,K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model0
RLingua: Improving Reinforcement Learning Sample Efficiency in Robotic Manipulations With Large Language Models0
Distributional Successor Features Enable Zero-Shot Policy Optimization0
PEaRL: Personalized Privacy of Human-Centric Systems using Early-Exit Reinforcement Learning0
Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning0
Enhancing Classification Performance via Reinforcement Learning for Feature Selection0
Enhancing Multi-Hop Knowledge Graph Reasoning through Reward Shaping Techniques0
Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem0
Switching the Loss Reduces the Cost in Batch Reinforcement Learning0
Simulating Battery-Powered TinyML Systems Optimised using Reinforcement Learning in Image-Based Anomaly Detection0
Why Online Reinforcement Learning is Causal0
Zero-shot cross-modal transfer of Reinforcement Learning policies through a Global WorkspaceCode0
Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy0
Noisy Spiking Actor Network for Exploration0
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning0
Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation0
A Natural Extension To Online Algorithms For Hybrid RL With Limited Coverage0
Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning0
Belief-Enriched Pessimistic Q-Learning against Adversarial State PerturbationsCode0
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL0
Language Guided Exploration for RL Agents in Text Environments0
Koopman-Assisted Reinforcement Learning0
Iterated Q-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning0
Twisting Lids Off with Two Hands0
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks0
Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey0
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning0
Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning0
Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behaviors and Adversarial Style Sampling for Assistive Tasks0
Robust Policy Learning via Offline Skill Diffusion0
RL-GPT: Integrating Reinforcement Learning and Code-as-policy0
Offline Fictitious Self-Play for Competitive Games0
Investigating Gender Fairness in Machine Learning-driven Personalized Care for Chronic Pain0
Reinforcement Learning and Graph Neural Networks for Probabilistic Risk Assessment0
Show:102550
← PrevPage 84 of 303Next →

Benchmark Results

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