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 6101–6125 of 15113 papers

TitleStatusHype
Policy Gradient for Reinforcement Learning with General Utilities—0
Square-root regret bounds for continuous-time episodic Markov decision processes—0
MSRL: Distributed Reinforcement Learning with Dataflow Fragments—0
Mastering Spatial Graph Prediction of Road Networks—0
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation—0
Safe Reinforcement Learning From Pixels Using a Stochastic Latent RepresentationCode0
Robust Bayesian optimization with reinforcement learned acquisition functions—0
Policy Gradients for Probabilistic Constrained Reinforcement Learning—0
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model—0
GFlowNets and variational inferenceCode0
Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach—0
Comparing BERT-based Reward Functions for Deep Reinforcement Learning in Machine Translation—0
Bayesian Q-learning With Imperfect Expert Demonstrations—0
Can Data Diversity Enhance Learning Generalization?—0
Parsing Natural Language into Propositional and First-Order Logic with Dual Reinforcement Learning—0
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning—0
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery—0
Safe Exploration Method for Reinforcement Learning under Existence of DisturbanceCode0
Reward Shaping for User Satisfaction in a REINFORCE Recommender—0
Bounded Robustness in Reinforcement Learning via Lexicographic Objectives—0
Programmable Control of Ultrasound Swarmbots through Reinforcement Learning—0
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement LearningCode0
Towards a Fully Autonomous UAV Controller for Moving Platform Detection and Landing—0
The Role of Time Delay in Sim2real Transfer of Reinforcement Learning for Cyber-Physical Systems—0
Efficient LSTM Training with Eligibility Traces—0
Show:102550
← PrevPage 245 of 605Next →

Benchmark Results

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