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 1031–1040 of 15113 papers

Title	Date	Tasks	Status	Hype
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators	Apr 8, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Confidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching	Apr 10, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning	May 23, 2023	continuous-controlContinuous Control	CodeCode Available	1
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning	Sep 29, 2023	Image GenerationOffline RL	CodeCode Available	1
Contextualize Me -- The Case for Context in Reinforcement Learning	Feb 9, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
Compositional Reinforcement Learning from Logical Specifications	Jun 25, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1
Action Space Shaping in Deep Reinforcement Learning	Apr 2, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
CompoSuite: A Compositional Reinforcement Learning Benchmark	Jul 8, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
Compiler Optimization for Quantum Computing Using Reinforcement Learning	Dec 8, 2022	Compiler Optimizationreinforcement-learning	CodeCode Available	1
Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulations	Sep 17, 2020	Evolutionary AlgorithmsReinforcement Learning (RL)	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