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 47014750 of 15113 papers

TitleStatusHype
Neural Distillation as a State Representation Bottleneck in Reinforcement Learning0
On Neural Consolidation for Transfer in Reinforcement Learning0
Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning0
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees0
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement LearningCode0
DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learningCode1
Learning Dynamic Abstract Representations for Sample-Efficient Reinforcement Learning0
Learning Perception-Aware Agile Flight in Cluttered Environments0
Using Deep Reinforcement Learning for mmWave Real-Time Scheduling0
Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors0
Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control0
Hyperbolic Deep Reinforcement Learning0
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control0
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning0
Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders0
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy OptimizationCode1
CaiRL: A High-Performance Reinforcement Learning Environment ToolkitCode1
Square-root regret bounds for continuous-time episodic Markov decision processes0
Policy Gradient for Reinforcement Learning with General Utilities0
MSRL: Distributed Reinforcement Learning with Dataflow Fragments0
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient0
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation0
Mastering Spatial Graph Prediction of Road Networks0
Latent State Marginalization as a Low-cost Approach for Improving ExplorationCode1
Accelerate Reinforcement Learning with PID Controllers in the Pendulum SimulationsCode0
Safe Reinforcement Learning From Pixels Using a Stochastic Latent RepresentationCode0
Policy Gradients for Probabilistic Constrained Reinforcement Learning0
GFlowNets and variational inferenceCode0
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model0
Robust Bayesian optimization with reinforcement learned acquisition functions0
Comparing BERT-based Reward Functions for Deep Reinforcement Learning in Machine Translation0
Can Data Diversity Enhance Learning Generalization?0
Parsing Natural Language into Propositional and First-Order Logic with Dual Reinforcement Learning0
Bayesian Q-learning With Imperfect Expert Demonstrations0
Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach0
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning0
Deep Intrinsically Motivated Exploration in Continuous ControlCode1
Towards a Fully Autonomous UAV Controller for Moving Platform Detection and Landing0
Efficiently Learning Small Policies for Locomotion and Manipulation0
Efficient LSTM Training with Eligibility Traces0
Improving Policy Learning via Language Dynamics DistillationCode0
ASPiRe:Adaptive Skill Priors for Reinforcement Learning0
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning0
B2RL: An open-source Dataset for Building Batch Reinforcement LearningCode0
Reward Shaping for User Satisfaction in a REINFORCE Recommender0
Bounded Robustness in Reinforcement Learning via Lexicographic Objectives0
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery0
Programmable Control of Ultrasound Swarmbots through Reinforcement Learning0
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement LearningCode0
The Role of Time Delay in Sim2real Transfer of Reinforcement Learning for Cyber-Physical Systems0
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Benchmark Results

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