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 37013750 of 15113 papers

TitleStatusHype
Optimality theory of stigmergic collective information processing by chemotactic cells0
Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning0
Phase Re-service in Reinforcement Learning Traffic Signal Control0
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RLCode0
Track-MDP: Reinforcement Learning for Target Tracking with Controlled Sensing0
FuzzTheREST: An Intelligent Automated Black-box RESTful API Fuzzer0
Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving GeneralizationCode0
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction0
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender SystemsCode0
Random Latent Exploration for Deep Reinforcement Learning0
Reinforcement Learning: Tutorial and Survey0
Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning0
A Graph-based Adversarial Imitation Learning Framework for Reliable & Realtime Fleet Scheduling in Urban Air Mobility0
Balancing the Scales: Reinforcement Learning for Fair ClassificationCode0
GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control AgentsCode0
Deflated Dynamics Value Iteration0
SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation0
Learning to Steer Markovian Agents under Model UncertaintyCode0
Affordance-Guided Reinforcement Learning via Visual Prompting0
Deep reinforcement learning with symmetric data augmentation applied for aircraft lateral attitude tracking control0
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods0
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control0
PID Accelerated Temporal Difference Algorithms0
A Review of Nine Physics Engines for Reinforcement Learning Research0
Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach0
Learning In-Hand Translation Using Tactile Skin With Shear and Normal Force Sensing0
Continuous Control with Coarse-to-fine Reinforcement Learning0
Token-Mol 1.0: Tokenized drug design with large language model0
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning0
Structural Design Through Reinforcement LearningCode0
Preference-Guided Reinforcement Learning for Efficient ExplorationCode0
Intercepting Unauthorized Aerial Robots in Controlled Airspace Using Reinforcement Learning0
Multi-agent Reinforcement Learning-based Network Intrusion Detection System0
Periodic agent-state based Q-learning for POMDPs0
On Bellman equations for continuous-time policy evaluation I: discretization and approximation0
An open source Multi-Agent Deep Reinforcement Learning Routing Simulator for satellite networks0
Multi-agent Off-policy Actor-Critic Reinforcement Learning for Partially Observable Environments0
FOSP: Fine-tuning Offline Safe Policy through World Models0
Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based ShieldingCode0
Autoverse: An Evolvable Game Language for Learning Robust Embodied Agents0
Robust Decision Transformer: Tackling Data Corruption in Offline RL via Sequence Modeling0
Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks0
ROER: Regularized Optimal Experience ReplayCode0
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language ModelsCode0
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes0
PWM: Policy Learning with Multi-Task World Models0
Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement LearningCode0
Reinforcement Learning-driven Data-intensive Workflow Scheduling for Volunteer Edge-Cloud0
To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning0
Safe Reinforcement Learning for Power System Control: A Review0
Show:102550
← PrevPage 75 of 303Next →

Benchmark Results

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