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
Frontiers | Comparing Deep Reinforcement Learning Algorithms' Ability to Safely Navigate Challenging Waters | Robotics and AI
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Frontiers | Comparing Deep Reinforcement Learning Algorithms' Ability to Safely Navigate Challenging Waters | Robotics and AI
Soft Actor-Critic Algorithms and Applications | DeepAI
The RL50 Handbag
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PDF] SAC-RL: Continuous Control of Wheeled Mobile Robot for Navigation in a Dynamic Environment | Semantic Scholar
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Figure 2 from Catalyst.RL: A Distributed Framework for Reproducible RL Research | Semantic Scholar
Soft Actor-Critic Algorithms and Applications | DeepAI
Frontiers | Comparing Deep Reinforcement Learning Algorithms' Ability to Safely Navigate Challenging Waters | Robotics and AI
PDF) Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones
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Can RL From Pixels be as Efficient as RL From State? – The Berkeley Artificial Intelligence Research Blog
Offline Reinforcement Learning: How Conservative Algorithms Can Enable New Applications – The Berkeley Artificial Intelligence Research Blog
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Applications of reinforcement learning in energy systems - ScienceDirect
Benchmarks for Spinning Up Implementations — Spinning Up documentation
Elastica + RL | Elastica
Discrete and continuous action representation for practical reinforcement learning in Video Games - Ubisoft Montréal