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 39013950 of 15113 papers

TitleStatusHype
CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models0
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback0
ACTRCE: Augmenting Experience via Teacher’s Advice0
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation0
Delay-aware Resource Allocation in Fog-assisted IoT Networks Through Reinforcement Learning0
Delay Constrained Buffer-Aided Relay Selection in the Internet of Things with Decision-Assisted Reinforcement Learning0
Optimism and Delays in Episodic Reinforcement Learning0
Delayed Geometric Discounts: An Alternative Criterion for Reinforcement Learning0
Delayed Reinforcement Learning by Imitation0
Delays in Reinforcement Learning0
Delegative Reinforcement Learning: learning to avoid traps with a little help0
A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning0
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding0
BAMDP Shaping: a Unified Theoretical Framework for Intrinsic Motivation and Reward Shaping0
Delving into adversarial attacks on deep policies0
Delving into Macro Placement with Reinforcement Learning0
Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations0
Demand response for residential building heating: Effective Monte Carlo Tree Search control based on physics-informed neural networks0
A General Perspective on Objectives of Reinforcement Learning0
Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments0
Diverse Exploration for Fast and Safe Policy Improvement0
Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human-Robot Interaction0
Diverse Transformer Decoding for Offline Reinforcement Learning Using Financial Algorithmic Approaches0
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization0
Demonstration-Regularized RL0
Barrier-Certified Adaptive Reinforcement Learning with Applications to Brushbot Navigation0
CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation0
A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing0
Demystify Painting with RL0
Coordination of PV Smart Inverters Using Deep Reinforcement Learning for Grid Voltage Regulation0
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning0
De Novo Molecular Design Enabled by Direct Preference Optimization and Curriculum Learning0
Assessing Transferability from Simulation to Reality for Reinforcement Learning0
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations0
5G MIMO Data for Machine Learning: Application to Beam-Selection using Deep Learning0
Density-Based Bonuses on Learned Representations for Reward-Free Exploration in Deep Reinforcement Learning0
Density Constrained Reinforcement Learning0
Basic protocols in quantum reinforcement learning with superconducting circuits0
Coordination-driven learning in multi-agent problem spaces0
Dependency Parsing with Backtracking using Deep Reinforcement Learning0
Depending on yourself when you should: Mentoring LLM with RL agents to become the master in cybersecurity games0
Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization0
Coordinating Ride-Pooling with Public Transit using Reward-Guided Conservative Q-Learning: An Offline Training and Online Fine-Tuning Reinforcement Learning Framework0
Deploying Reinforcement Learning in Water Transport0
Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL0
Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel0
Depth and nonlinearity induce implicit exploration for RL0
Depth-Constrained ASV Navigation with Deep RL and Limited Sensing0
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning0
A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning0
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Benchmark Results

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