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 1221–1230 of 15113 papers

Title	Date	Tasks	Status	Hype
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning	Jan 12, 2022	Multi-agent Reinforcement Learningreinforcement-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
Verified Probabilistic Policies for Deep Reinforcement Learning	Jan 10, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Mirror Learning: A Unifying Framework of Policy Optimisation	Jan 7, 2022	Deep Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1
SABLAS: Learning Safe Control for Black-box Dynamical Systems	Jan 6, 2022	Reinforcement Learning (RL)	CodeCode Available	1
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation	Jan 5, 2022	continuous-controlContinuous Control	CodeCode Available	1
Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors	Jan 4, 2022	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism	Jan 3, 2022	Deep Reinforcement LearningGraph Representation Learning	CodeCode Available	1
SimSR: Simple Distance-based State Representation for Deep Reinforcement Learning	Dec 31, 2021	Deep Reinforcement LearningMuJoCo	CodeCode Available	1
Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization	Dec 30, 2021	Reinforcement Learning (RL)Traffic Signal Control	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