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Frontiers | Comparing Deep Reinforcement Learning Algorithms' Ability to Safely Navigate Challenging Waters | Robotics and AI
Discrete and continuous action representation for practical reinforcement learning in Video Games - Ubisoft Montréal
Applications of reinforcement learning in energy systems - ScienceDirect
Soft Actor-Critic Algorithms and Applications | DeepAI
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Soft Actor-Critic Algorithms and Applications | DeepAI
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels | DeepAI
Frontiers | Comparing Deep Reinforcement Learning Algorithms' Ability to Safely Navigate Challenging Waters | Robotics and AI
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Discrete and continuous action representation for practical reinforcement learning in Video Games - Ubisoft Montréal
Offline Reinforcement Learning: How Conservative Algorithms Can Enable New Applications – The Berkeley Artificial Intelligence Research Blog
Reducing Entropy Overestimation in Soft Actor Critic Using Dual Policy Network
Does On-Policy Data Collection Fix Errors in Off-Policy Reinforcement Learning? – The Berkeley Artificial Intelligence Research Blog
SAC minitaur with the Actor-Learner API | TensorFlow Agents
PDF) Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning – arXiv Vanity
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PDF] SAC-RL: Continuous Control of Wheeled Mobile Robot for Navigation in a Dynamic Environment | Semantic Scholar
Frontiers | Comparing Deep Reinforcement Learning Algorithms' Ability to Safely Navigate Challenging Waters | Robotics and AI
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Reducing Entropy Overestimation in Soft Actor Critic Using Dual Policy Network