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