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 991–1000 of 15113 papers

Title	Date	Tasks	Status	Hype
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning	Oct 1, 2019	continuous-controlContinuous Control	CodeCode Available	1
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet	May 12, 2021	MuJoCoMulti-Goal Reinforcement Learning	CodeCode Available	1
In Defense of the Unitary Scalarization for Deep Multi-Task Learning	Jan 11, 2022	Multi-Task 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
Conservative Q-Learning for Offline Reinforcement Learning	Jun 8, 2020	continuous-controlContinuous Control	CodeCode Available	1
Information Directed Reward Learning for Reinforcement Learning	Feb 24, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization	Aug 30, 2021	Abstractive Text SummarizationReinforcement Learning (RL)	CodeCode Available	1
Integrated Decision and Control: Towards Interpretable and Computationally Efficient Driving Intelligence	Mar 18, 2021	Autonomous DrivingModel-based Reinforcement Learning	CodeCode Available	1
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators	Apr 8, 2021	Deep 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

Show:10 25 50

← PrevPage 100 of 1512Next →

Benchmark Results

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