
Maximum Entropy Reinforcement Learning with Mixture Policies
Mixture models are an expressive hypothesis class that can approximate a...
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Action Redundancy in Reinforcement Learning
Maximum Entropy (MaxEnt) reinforcement learning is a powerful learning p...
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GELATO: Geometrically Enriched Latent Model for Offline Reinforcement Learning
Offline reinforcement learning approaches can generally be divided to pr...
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Inspiration Learning through Preferences
Current imitation learning techniques are too restrictive because they r...
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AveragedDQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
Instability and variability of Deep Reinforcement Learning (DRL) algorit...
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Deep Reinforcement Learning Discovers Internal Models
Deep Reinforcement Learning (DRL) is a trending field of research, showi...
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Nir Baram
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