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 47514800 of 15113 papers

TitleStatusHype
JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading0
Continuous Reinforcement Learning-based Dynamic Difficulty Adjustment in a Visual Working Memory Game0
Bayesian Exploration Networks0
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory0
Conditional Kernel Imitation Learning for Continuous State Environments0
MolOpt: Autonomous Molecular Geometry Optimization using Multi-Agent Reinforcement LearningCode0
Reinforcement learning informed evolutionary search for autonomous systems testing0
Racing Towards Reinforcement Learning based control of an Autonomous Formula SAE Car0
RamseyRL: A Framework for Intelligent Ramsey Number Counterexample SearchingCode0
Aligning Language Models with Offline Learning from Human Feedback0
Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems0
Stabilizing Unsupervised Environment Design with a Learned Adversary0
A Homogenization Approach for Gradient-Dominated Stochastic Optimization0
LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient QueryingCode0
Soft Decomposed Policy-Critic: Bridging the Gap for Effective Continuous Control with Discrete RL0
Accelerating Exact Combinatorial Optimization via RL-based Initialization -- A Case Study in Scheduling0
UAV-assisted Semantic Communication with Hybrid Action Reinforcement Learning0
Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games0
ReProHRL: Towards Multi-Goal Navigation in the Real World using Hierarchical Agents0
Reinforced Self-Training (ReST) for Language Modeling0
Data-driven Integrated Sensing and Communication: Recent Advances, Challenges, and Future Prospects0
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making0
Partially Observable Multi-Agent Reinforcement Learning with Information Sharing0
On-demand Cold Start Frequency Reduction with Off-Policy Reinforcement Learning in Serverless Computing0
Planning to Learn: A Novel Algorithm for Active Learning during Model-Based PlanningCode0
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World0
A Reinforcement Learning Approach for Performance-aware Reduction in Power Consumption of Data Center Compute NodesCode0
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse0
Insurance pricing on price comparison websites via reinforcement learning0
ACRE: Actor-Critic with Reward-Preserving ExplorationCode0
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads0
Omega-Regular Reward Machines0
Neural Categorical Priors for Physics-Based Character Control0
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models0
CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation0
A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control0
Provably Efficient Algorithm for Nonstationary Low-Rank MDPs0
Collaborative Wideband Spectrum Sensing and Scheduling for Networked UAVs in UTM Systems0
Actor-Critic with variable time discretization via sustained actions0
Characterization of Human Balance through a Reinforcement Learning-based Muscle Controller0
Exploiting Generalization in Offline Reinforcement Learning via Unseen State Augmentations0
A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning0
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration0
Nonprehensile Planar Manipulation through Reinforcement Learning with Multimodal Categorical Exploration0
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback0
Bag of Policies for Distributional Deep Exploration0
Follow the Soldiers with Optimized Single-Shot Multibox Detection and Reinforcement Learning0
Revisiting a Design Choice in Gradient Temporal Difference Learning0
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel OptimizationCode0
End-to-End Reinforcement Learning for Torque Based Variable Height HoppingCode0
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Benchmark Results

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