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 73017350 of 15113 papers

TitleStatusHype
Maximizing Ensemble Diversity in Deep Reinforcement Learning0
Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory0
On the benefits of deep RL in accelerated MRI sampling0
Multi-batch Reinforcement Learning via Sample Transfer and Imitation Learning0
LPMARL: Linear Programming based Implicit Task Assigment for Hiearchical Multi-Agent Reinforcement Learning0
Neural Combinatorial Optimization with Reinforcement Learning : Solving theVehicle Routing Problem with Time Windows0
Text Generation with Efficient (Soft) Q-Learning0
The Essential Elements of Offline RL via Supervised Learning0
Selective Token Generation for Few-shot Language Modeling0
Towards Unknown-aware Deep Q-Learning0
Zero-Shot Reward Specification via Grounded Natural Language0
Task-driven Discovery of Perceptual Schemas for Generalization in Reinforcement Learning0
Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics0
Should I Run Offline Reinforcement Learning or Behavioral Cloning?0
The Remarkable Effectiveness of Combining Policy and Value Networks in A*-based Deep RL for AI Planning0
MARNET: Backdoor Attacks against Value-Decomposition Multi-Agent Reinforcement Learning0
Why so pessimistic? Estimating uncertainties for offline RL through ensembles, and why their independence matters.0
Targeted Environment Design from Offline Data0
Superior Performance with Diversified Strategic Control in FPS Games Using General Reinforcement Learning0
Reinforcement Learning with Predictive Consistent Representations0
SAFER: Data-Efficient and Safe Reinforcement Learning Through Skill Acquisition0
Programmatic Reinforcement Learning without Oracles0
OVD-Explorer: A General Information-theoretic Exploration Approach for Reinforcement Learning0
Reachability Traces for Curriculum Design in Reinforcement Learning0
Offline Reinforcement Learning for Large Scale Language Action Spaces0
Offline Pre-trained Multi-Agent Decision Transformer0
Transformers are Meta-Reinforcement Learners0
Resmax: An Alternative Soft-Greedy Operator for Reinforcement Learning0
Offline-Online Reinforcement Learning: Extending Batch and Online RL0
State-Action Joint Regularized Implicit Policy for Offline Reinforcement Learning0
Pareto Policy Pool for Model-based Offline Reinforcement Learning0
Understanding and Leveraging Overparameterization in Recursive Value Estimation0
Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning0
Deep Inverse Reinforcement Learning via Adversarial One-Class Classification0
IA-MARL: Imputation Assisted Multi-Agent Reinforcement Learning for Missing Training Data0
Joint Self-Supervised Learning for Vision-based Reinforcement Learning0
Data Sharing without Rewards in Multi-Task Offline Reinforcement Learning0
Closed-Loop Control of Additive Manufacturing via Reinforcement Learning0
Distributional Reinforcement Learning with Monotonic Splines0
DiBB: Distributing Black-Box Optimization0
Distributional Decision Transformer for Hindsight Information Matching0
Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework0
An Experimental Design Perspective on Exploration in Reinforcement Learning0
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning0
Generalizing Successor Features to continuous domains for Multi-task Learning0
Decentralized Cross-Entropy Method for Model-Based Reinforcement Learning0
Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward0
Bi-linear Value Networks for Multi-goal Reinforcement Learning0
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning0
Evaluating Robustness of Cooperative MARL0
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Benchmark Results

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