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 441–450 of 15113 papers

Title	Date	Tasks	Status	Hype
Addressing Function Approximation Error in Actor-Critic Methods	Feb 26, 2018	Continuous ControlOpenAI Gym	CodeCode Available	1
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format	Nov 30, 2022	Reinforcement Learning (RL)Transfer Learning	CodeCode Available	1
Cooperative Multi-Agent Reinforcement Learning with Sequential Credit Assignment	May 21, 2021	counterfactualMulti-agent Reinforcement Learning	CodeCode Available	1
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents	Oct 19, 2021	NetHackreinforcement-learning	CodeCode Available	1
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity	Feb 14, 2019	continuous-controlContinuous Control	CodeCode Available	1
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems	May 18, 2023	Recommendation Systemsreinforcement-learning	CodeCode Available	1
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL	Oct 12, 2022	Contrastive LearningOut-of-Distribution Generalization	CodeCode Available	1
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning	Jul 29, 2022	Contrastive LearningDeep Reinforcement Learning	CodeCode Available	1
Acme: A Research Framework for Distributed Reinforcement Learning	Jun 1, 2020	Deep Reinforcement LearningDQN Replay Dataset	CodeCode Available	1
Contrastive Preference Learning: Learning from Human Feedback without RL	Oct 20, 2023	reinforcement-learningReinforcement Learning (RL)	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