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 976–1000 of 15113 papers

Title	Date	Tasks	Status	Hype
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations	Jul 20, 2022	Imitation LearningOffline RL	CodeCode Available	1
Imitation Learning via Off-Policy Distribution Matching	Dec 10, 2019	Imitation LearningReinforcement Learning	CodeCode Available	1
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures	Feb 5, 2018	Atari Gamesreinforcement-learning	CodeCode Available	1
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs	Jul 5, 2022	Fairnessreinforcement-learning	CodeCode Available	1
Implicit Distributional Reinforcement Learning	Jul 13, 2020	Distributional Reinforcement LearningOpenAI Gym	CodeCode Available	1
Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning	Jan 11, 2021	Language ModelingLanguage Modelling	CodeCode Available	1
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning	Mar 7, 2023	Navigatereinforcement-learning	CodeCode Available	1
ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial Markets	Oct 27, 2021	OpenAI GymReinforcement Learning (RL)	CodeCode Available	1
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings	Mar 4, 2021	Atari GamesComputational Efficiency	CodeCode Available	1
An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents	Oct 18, 2021	Deep Reinforcement LearningJob Shop Scheduling	CodeCode Available	1
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture	May 28, 2021	Meta Reinforcement LearningMuJoCo	CodeCode Available	1
Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision	Feb 10, 2021	Board GamesModel-based Reinforcement Learning	CodeCode Available	1
Conservative Offline Distributional Reinforcement Learning	Jul 12, 2021	D4RLDistributional Reinforcement Learning	CodeCode Available	1
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?	Sep 26, 2019	Feature EngineeringQ-Learning	CodeCode Available	1
Goal-directed graph construction using reinforcement learning	Jan 30, 2020	Decision Makinggraph construction	CodeCode Available	1
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

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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