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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5001–5025 of 15113 papers

TitleStatusHype
Reinforcement Learning in Rich-Observation MDPs using Spectral Methods—0
Reinforcement Learning in Robotic Motion Planning by Combined Experience-based Planning and Self-Imitation Learning—0
Reinforcement Learning in Robust Markov Decision Processes—0
Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovations—0
Reinforcement Learning in System Identification—0
Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace—0
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer—0
Demystifying Reinforcement Learning in Time-Varying Systems—0
Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation—0
Reinforcement Learning Methods for Wordle: A POMDP/Adaptive Control Approach—0
Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders—0
Reinforcement Learning of Cooperative Persuasive Dialogue Policies using Framing—0
Reinforcement Learning of Graph Neural Networks for Service Function Chaining—0
Reinforcement Learning of Implicit and Explicit Control Flow in Instructions—0
Reinforcement Learning of Markov Decision Processes with Peak Constraints—0
Reinforcement learning of minimalist grammars—0
Reinforcement Learning of Minimalist Numeral Grammars—0
Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings—0
Reinforcement Learning of Multi-Issue Negotiation Dialogue Policies—0
Reinforcement learning of optimal active particle navigation—0
Reinforcement Learning of POMDPs using Spectral Methods—0
Reinforcement Learning of Question-Answering Dialogue Policies for Virtual Museum Guides—0
Reinforcement learning of rare diffusive dynamics—0
Reinforcement Learning of Sequential Price Mechanisms—0
Reinforcement Learning of Speech Recognition System Based on Policy Gradient and Hypothesis Selection—0
Show:102550
← PrevPage 201 of 605Next →

Benchmark Results

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