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 6301–6325 of 15113 papers

TitleStatusHype
Local Stochastic Approximation: A Unified View of Federated Learning and Distributed Multi-Task Reinforcement Learning Algorithms—0
LOCO: Adaptive exploration in reinforcement learning via local estimation of contraction coefficients—0
Logarithmic regret bounds for continuous-time average-reward Markov decision processes—0
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation—0
Logarithmic Switching Cost in Reinforcement Learning beyond Linear MDPs—0
Logical Composition in Lifelong Reinforcement Learning—0
Logic and the 2-Simplicial Transformer—0
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain—0
Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers—0
Logistic Q-Learning—0
LogLLaMA: Transformer-based log anomaly detection with LLaMA—0
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning—0
Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving—0
Longitudinal Deep Truck: Deep learning and deep reinforcement learning for modeling and control of longitudinal dynamics of heavy duty trucks—0
Review of Learning-based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps between Self-driving and Traffic Congestion—0
Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems—0
Long-Range Indoor Navigation with PRM-RL—0
Long Run Incremental Cost (LRIC) Distribution Network Pricing in UK, advising China's Distribution Network—0
Long-Tail Classification for Distinctive Image Captioning: A Simple yet Effective Remedy for Side Effects of Reinforcement Learning—0
Long Term Memory Network for Combinatorial Optimization Problems—0
Long-term planning, short-term adjustments—0
Long-term Safe Reinforcement Learning with Binary Feedback—0
Look-Ahead AC Optimal Power Flow: A Model-Informed Reinforcement Learning Approach—0
The Indoor-Training Effect: unexpected gains from distribution shifts in the transition function—0
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention—0
Show:102550
← PrevPage 253 of 605Next →

Benchmark Results

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