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 3551–3575 of 15113 papers

Title	Date	Tasks	Status	Score
Gotta Learn Fast: A New Benchmark for Generalization in RL	Apr 10, 2018	Few-Shot Learningreinforcement-learning	CodeCode Available	5
Goal-conditioned Imitation Learning	Jun 13, 2019	Imitation LearningReinforcement Learning	CodeCode Available	5
Automatic Discovery of Interpretable Planning Strategies	May 24, 2020	ClusteringDecision Making	CodeCode Available	5
Playing FPS Games with Deep Reinforcement Learning	Sep 18, 2016	Deep Reinforcement LearningFPS Games	CodeCode Available	5
Combining Automated Optimisation of Hyperparameters and Reward Shape	Jun 26, 2024	Deep Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	5
Goal-Conditioned Q-Learning as Knowledge Distillation	Aug 28, 2022	Knowledge DistillationQ-Learning	CodeCode Available	5
Combined Reinforcement Learning via Abstract Representations	Sep 12, 2018	reinforcement-learningReinforcement Learning	CodeCode Available	5
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling	Jan 22, 2020	Decision MakingEfficient Exploration	CodeCode Available	5
"Give Me an Example Like This": Episodic Active Reinforcement Learning from Demonstrations	Jun 5, 2024	Active LearningReinforcement Learning (RL)	CodeCode Available	5
Policy Consolidation for Continual Reinforcement Learning	Feb 1, 2019	Continual Learningcontinuous-control	CodeCode Available	5
Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning	Nov 11, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	5
Policy Distillation	Nov 19, 2015	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	5
GFlowNet Training by Policy Gradients	Aug 12, 2024	Reinforcement Learning (RL)	CodeCode Available	5
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning	Mar 2, 2023	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	5
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment	May 28, 2024	reinforcement-learningReinforcement Learning	CodeCode Available	5
GFlowNets and variational inference	Oct 2, 2022	DiversityReinforcement Learning (RL)	CodeCode Available	5
Gifting in multi-agent reinforcement learning	May 5, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	5
Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes	Jun 29, 2021	Hierarchical Reinforcement Learningreinforcement-learning	CodeCode Available	5
Genes in Intelligent Agents	Jun 17, 2023	reinforcement-learningReinforcement Learning	CodeCode Available	5
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning	Aug 29, 2018	Active Learningreinforcement-learning	CodeCode Available	5
Learning robust control for LQR systems with multiplicative noise via policy gradient	May 28, 2019	reinforcement-learningReinforcement Learning	CodeCode Available	5
Generic Itemset Mining Based on Reinforcement Learning	May 17, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	5
Automatic Goal Generation for Reinforcement Learning Agents	May 17, 2017	reinforcement-learningReinforcement Learning	CodeCode Available	5
Collision Avoidance Robotics Via Meta-Learning (CARML)	Jul 16, 2020	Collision AvoidanceMeta-Learning	CodeCode Available	5
Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning	Oct 24, 2019	Collision AvoidanceDecision Making	CodeCode Available	5

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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