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 2201–2225 of 15113 papers

Title	Date	Tasks	Status	Hype
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor	Jan 4, 2018	Continuous ControlDecision Making	CodeCode Available	1
DeepMind Control Suite	Jan 2, 2018	continuous-controlContinuous Control	CodeCode Available	1
Deep Reinforcement Learning for List-wise Recommendations	Dec 30, 2017	Deep Reinforcement LearningRecommendation Systems	CodeCode Available	1
Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger	Dec 23, 2017	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
AI2-THOR: An Interactive 3D Environment for Visual AI	Dec 14, 2017	Deep Reinforcement LearningImitation Learning	CodeCode Available	1
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm	Dec 5, 2017	Game of ChessGame of Go	CodeCode Available	1
Time Limits in Reinforcement Learning	Dec 1, 2017	General Reinforcement Learningreinforcement-learning	CodeCode Available	1
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models	Nov 28, 2017	Question GenerationQuestion-Generation	CodeCode Available	1
One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay	Nov 28, 2017	Navigatereinforcement-learning	CodeCode Available	1
Action Branching Architectures for Deep Reinforcement Learning	Nov 24, 2017	continuous-controlContinuous Control	CodeCode Available	1
Eigenoption Discovery through the Deep Successor Representation	Oct 30, 2017	Atari GamesDeep Reinforcement Learning	CodeCode Available	1
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning	Oct 30, 2017	Decision MakingDeep Reinforcement Learning	CodeCode Available	1
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations	Sep 28, 2017	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
A Benchmark Environment Motivated by Industrial Control Problems	Sep 27, 2017	OpenAI GymReinforcement Learning	CodeCode Available	1
Automated Cloud Provisioning on AWS using Deep Reinforcement Learning	Sep 13, 2017	Cloud ComputingDeep Reinforcement Learning	CodeCode Available	1
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning	Aug 31, 2017	reinforcement-learningReinforcement Learning	CodeCode Available	1
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation	Aug 17, 2017	Atari Gamescontinuous-control	CodeCode Available	1
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning	Jul 31, 2017	Few-Shot LearningMeta-Learning	CodeCode Available	1
A Distributional Perspective on Reinforcement Learning	Jul 21, 2017	Atari Gamesreinforcement-learning	CodeCode Available	1
A multi-agent reinforcement learning model of common-pool resource appropriation	Jul 20, 2017	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Lenient Multi-Agent Deep Reinforcement Learning	Jul 14, 2017	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Emergence of Locomotion Behaviours in Rich Environments	Jul 7, 2017	reinforcement-learningReinforcement Learning	CodeCode Available	1
Hindsight Experience Replay	Jul 5, 2017	Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem	Jun 30, 2017	Deep Reinforcement LearningManagement	CodeCode Available	1
Value-Decomposition Networks For Cooperative Multi-Agent Learning	Jun 16, 2017	Multi-agent 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