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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 1441–1450 of 15113 papers

Title	Date	Tasks	Status	Hype
Compile Scene Graphs with Reinforcement Learning	Apr 18, 2025	reinforcement-learningReinforcement Learning	CodeCode Available	1
Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism	Jan 3, 2022	Deep Reinforcement LearningGraph Representation Learning	CodeCode Available	1
HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning	Mar 19, 2024	Reinforcement Learning (RL)Visual Grounding	CodeCode Available	1
HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning	Sep 29, 2021	Deep Reinforcement LearningEfficient Exploration	CodeCode Available	1
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning	Apr 27, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Hypernetworks in Meta-Reinforcement Learning	Oct 20, 2022	Meta Reinforcement Learningreinforcement-learning	CodeCode Available	1
Scalable Multi-agent Reinforcement Learning Algorithm for Wireless Networks	Aug 1, 2021	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	1
IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents	May 31, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning	Dec 14, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values	Oct 4, 2021	Decision MakingDeep Reinforcement Learning	CodeCode Available	1

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PPG	Mean Normalized Performance	0.76	—	Unverified
2	PPO	Mean Normalized Performance	0.58	—	Unverified