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 29512975 of 15113 papers

TitleStatusHype
Toward Evaluating Robustness of Reinforcement Learning with Adversarial PolicyCode0
Continual Reinforcement Learning in 3D Non-stationary EnvironmentsCode0
Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer LearningCode0
Interval timing in deep reinforcement learning agentsCode0
A Framework for Automated Cellular Network Tuning with Reinforcement LearningCode0
Control with adaptive Q-learningCode0
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level GenerationCode0
Imagination-Augmented Agents for Deep Reinforcement LearningCode0
Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand ManipulationCode0
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation TasksCode0
Continual Learning In Environments With Polynomial Mixing TimesCode0
Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience RehearsalCode0
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement LearningCode0
Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic ControlCode0
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022Code0
Is Feedback All You Need? Leveraging Natural Language Feedback in Goal-Conditioned Reinforcement LearningCode0
IGN : Implicit Generative NetworksCode0
Imitation Learning by Reinforcement LearningCode0
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement LearningCode0
Ask the Right Questions: Active Question Reformulation with Reinforcement LearningCode0
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment DesignCode0
Identifiability and generalizability from multiple experts in Inverse Reinforcement LearningCode0
A General, Evolution-Inspired Reward Function for Social RoboticsCode0
Hyp-RL : Hyperparameter Optimization by Reinforcement LearningCode0
Hysteresis-Based RL: Robustifying Reinforcement Learning-based Control Policies via Hybrid ControlCode0
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Benchmark Results

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