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 10776–10800 of 15113 papers

TitleStatusHype
Off-Policy Self-Critical Training for Transformer in Visual Paragraph Generation—0
Towards Tractable Optimism in Model-Based Reinforcement Learning—0
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees—0
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies—0
Entropic Risk Constrained Soft-Robust Policy Optimization—0
Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms—0
Learn to Earn: Enabling Coordination within a Ride Hailing Fleet—0
A Reinforcement Learning Approach for Transient Control of Liquid Rocket Engines—0
NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration—0
FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimize—0
On Reward-Free Reinforcement Learning with Linear Function Approximation—0
Provably adaptive reinforcement learning in metric spaces—0
WD3: Taming the Estimation Bias in Deep Reinforcement Learning—0
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs—0
Efficient Ridesharing Dispatch Using Multi-Agent Reinforcement LearningCode0
Cooperative Multi-Agent Reinforcement Learning with Partial Observations—0
Distributed Value Function Approximation for Collaborative Multi-Agent Reinforcement Learning—0
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning—0
Deep Reinforcement Learning amidst Lifelong Non-Stationarity—0
Deep Reinforcement Learning Controller for 3D Path-following and Collision Avoidance by Autonomous Underwater Vehicles—0
Delta Schema Network in Model-based Reinforcement LearningCode0
Eco-Vehicular Edge Networks for Connected Transportation: A Distributed Multi-Agent Reinforcement Learning Approach—0
Introduction to Machine Learning for Accelerator Physics—0
Green Simulation Assisted Reinforcement Learning with Model Risk for Biomanufacturing Learning and ControlCode0
Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework—0
Show:102550
← PrevPage 432 of 605Next →

Benchmark Results

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