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 7051–7100 of 15113 papers

TitleStatusHype
Dynamic Dialogue Policy for Continual Reinforcement Learning—0
External control of a genetic toggle switch via Reinforcement Learning—0
gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning ApproachCode0
Deep Reinforcement Learning Based Semi-Autonomous Control for Robotic Surgery—0
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios—0
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning—0
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels—0
Implementing Online Reinforcement Learning with Temporal Neural Networks—0
Settling the Sample Complexity of Model-Based Offline Reinforcement Learning—0
NeuRL: Closed-form Inverse Reinforcement Learning for Neural Decoding—0
Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learningCode0
A Spiking Neural Network Structure Implementing Reinforcement Learning—0
Hardware Trojan Insertion Using Reinforcement Learning—0
Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads—0
On Improving Cross-dataset Generalization of Deepfake Detectors—0
Semantic Exploration from Language Abstractions and Pretrained Representations—0
The Complexity of Markov Equilibrium in Stochastic Games—0
Evolving Pareto-Optimal Actor-Critic Algorithms for Generalizability and Stability—0
Approximate discounting-free policy evaluation from transient and recurrent states—0
Data-Driven Evaluation of Training Action Space for Reinforcement Learning—0
Distributed Reinforcement Learning for Robot Teams: A Review—0
Imitating, Fast and Slow: Robust learning from demonstrations via decision-time planning—0
Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale—0
Optimizing the Long-Term Behaviour of Deep Reinforcement Learning for Pushing and Grasping—0
Q-learning with online random forests—0
Temporal Alignment for History Representation in Reinforcement LearningCode0
Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem—0
On the Computational Consequences of Cost Function Design in Nonlinear Optimal Control—0
RL4ReAl: Reinforcement Learning for Register Allocation—0
Learning to Bid Long-Term: Multi-Agent Reinforcement Learning with Long-Term and Sparse Reward in Repeated Auction GamesCode0
Configuration Path Control—0
Automating Reinforcement Learning with Example-based ResetsCode0
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine LearningCode0
Optimising Energy Efficiency in UAV-Assisted Networks using Deep Reinforcement Learning—0
Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning—0
Reinforcement Learning Agents in Colonel BlottoCode0
Semi-Data-Aided Channel Estimation for MIMO Systems via Reinforcement Learning—0
Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs—0
Enhancing Digital Health Services: A Machine Learning Approach to Personalized Exercise Goal Setting—0
Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation—0
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks—0
Safe Reinforcement Learning via Shielding under Partial Observability—0
Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation—0
A Reinforcement Learning Approach to Sensing Design in Resource-Constrained Wireless Networked Control SystemsCode0
Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation—0
Building Decision Forest via Deep Reinforcement Learning—0
Hysteresis-Based RL: Robustifying Reinforcement Learning-based Control Policies via Hybrid ControlCode0
Automating Staged Rollout with Reinforcement Learning—0
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools—0
Maze Learning using a Hyperdimensional Predictive Processing Cognitive Architecture—0
Show:102550
← PrevPage 142 of 303Next →

Benchmark Results

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