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 876–900 of 15113 papers

Title	Date	Tasks	Status	Hype	Score
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning	Sep 29, 2023	Image GenerationOffline RL	CodeCode Available	1	5
Reliable Conditioning of Behavioral Cloning for Offline Reinforcement Learning	Oct 11, 2022	Offline RLreinforcement-learning	CodeCode Available	1	5
Zero-Shot Reinforcement Learning from Low Quality Data	Sep 26, 2023	Offline RLreinforcement-learning	CodeCode Available	1	5
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning	Dec 4, 2019	DecoderMulti-agent Reinforcement Learning	CodeCode Available	1	5
Constrained episodic reinforcement learning in concave-convex and knapsack settings	Jun 9, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1	5
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding	Nov 14, 2023	Machine TranslationNMT	CodeCode Available	1	5
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning	Jun 2, 2024	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1	5
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction	Mar 16, 2020	Deep Reinforcement LearningMeta-Learning	CodeCode Available	1	5
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning	Mar 7, 2023	continuous-controlContinuous Control	CodeCode Available	1	5
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning	Dec 7, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1	5
Aligning Language Models with Human Preferences via a Bayesian Approach	Oct 9, 2023	Contrastive LearningReinforcement Learning (RL)	CodeCode Available	1	5
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets	Oct 10, 2021	Decision Makingreinforcement-learning	CodeCode Available	1	5
Constrained Variational Policy Optimization for Safe Reinforcement Learning	Jan 28, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1	5
Constructions in combinatorics via neural networks	Apr 29, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1	5
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation	Jul 10, 2023	Decision MakingInteractive Recommendation	CodeCode Available	1	5
Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning	Mar 3, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills	May 9, 2020	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1	5
All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL	Feb 24, 2022	AllImitation Learning	CodeCode Available	1	5
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning	May 14, 2020	modelModel-based Reinforcement Learning	CodeCode Available	1	5
Continual Model-Based Reinforcement Learning with Hypernetworks	Sep 25, 2020	Continual Learningmodel	CodeCode Available	1	5
Continual Backprop: Stochastic Gradient Descent with Persistent Randomness	Aug 13, 2021	Continual LearningReinforcement Learning (RL)	CodeCode Available	1	5
Continual Learning with Gated Incremental Memories for sequential data processing	Apr 8, 2020	Continual LearningReinforcement Learning	CodeCode Available	1	5
Converting Biomechanical Models from OpenSim to MuJoCo	Jun 17, 2020	MuJoCoreinforcement-learning	CodeCode Available	1	5
Direct Behavior Specification via Constrained Reinforcement Learning	Dec 22, 2021	continuous-controlContinuous Control	CodeCode Available	1	5
DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning	Oct 4, 2022	Deep Reinforcement LearningForm	CodeCode Available	1	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