Or RivlininTowards Data ScienceThe Power of Offline Reinforcement LearningRL algorithms that could potentially scale to real-world problemsNov 1, 20201Nov 1, 20201
Or RivlininTowards Data ScienceGeneralization in Deep Reinforcement LearningLearning policies that generalize beyond their training environmentNov 21, 20191Nov 21, 20191
Or RivlininTowards Data ScienceModel Based Policy OptimizationReviewing recent advances in model-based reinforcement learning.Aug 1, 2019Aug 1, 2019
Or RivlininTowards Data ScienceReinforcement Learning for Real-World RoboticsIdeas from the literature on RL for real-world robot controlMay 3, 20194May 3, 20194
Or RivlininTowards Data ScienceReinforcement Learning for Combinatorial OptimizationLearning strategies to tackle difficult optimization problems using Deep Reinforcement Learning and Graph Neural Networks.Apr 6, 20192Apr 6, 20192
Or RivlininTowards Data ScienceRobotic Control with Graph NetworksExploiting relational inductive bias to improve generalization and controlMar 16, 20193Mar 16, 20193
Or RivlininTowards Data ScienceLearning to Plan with Value Iteration NetworksNeural Networks that can learn to mimic planning algorithmsMar 5, 20191Mar 5, 20191
Or RivlininTowards Data ScienceReinforcement Learning Using a Single DemonstrationLearning from DemonstrationFeb 16, 2019Feb 16, 2019
Or RivlininTowards Data ScienceReinforcement Learning with Hindsight Experience ReplaySparse and Binary RewardsJan 31, 20192Jan 31, 20192
Or RivlininTowards Data ScienceReinforcement Learning with Exploration by Random Network DistillationEver since the seminal DQN work by DeepMind in 2013, in which an agent successfully learned to play Atari games at a level that is higher…Jan 24, 20193Jan 24, 20193