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 1461–1470 of 15113 papers

Title	Date	Tasks	Status	Hype
Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision	Feb 10, 2021	Board GamesModel-based Reinforcement Learning	CodeCode Available	1
Combinatorial Optimization with Policy Adaptation using Latent Space Search	Nov 13, 2023	BenchmarkingCombinatorial Optimization	CodeCode Available	1
Actor-Critic Reinforcement Learning for Control with Stability Guarantee	Apr 29, 2020	Motion Planningreinforcement-learning	CodeCode Available	1
Improving the Validity of Automatically Generated Feedback via Reinforcement Learning	Mar 2, 2024	MathMisconceptions	CodeCode Available	1
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning	Oct 15, 2020	ManagementMulti-agent Reinforcement Learning	CodeCode Available	1
Inclined Quadrotor Landing using Deep Reinforcement Learning	Mar 16, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization	Jun 12, 2021	Atari GamesMuJoCo	CodeCode Available	1
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal	Sep 28, 2022	Continual LearningReinforcement Learning (RL)	CodeCode Available	1
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem	Apr 22, 2021	Decision Makingreinforcement-learning	CodeCode Available	1
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning	Oct 27, 2020	reinforcement-learningReinforcement 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