Or RivlininTowards Data ScienceThe Power of Offline Reinforcement LearningRL algorithms that could potentially scale to real-world problems13 min read·Nov 1, 2020--1--1
Or RivlininTowards Data ScienceGeneralization in Deep Reinforcement LearningLearning policies that generalize beyond their training environment9 min read·Nov 21, 2019--1--1
Or RivlininTowards Data ScienceModel Based Policy OptimizationReviewing recent advances in model-based reinforcement learning.10 min read·Aug 1, 2019----
Or RivlininTowards Data ScienceReinforcement Learning for Real-World RoboticsIdeas from the literature on RL for real-world robot control9 min read·May 3, 2019--4--4
Or RivlininTowards Data ScienceReinforcement Learning for Combinatorial OptimizationLearning strategies to tackle difficult optimization problems using Deep Reinforcement Learning and Graph Neural Networks.9 min read·Apr 6, 2019--2--2
Or RivlininTowards Data ScienceRobotic Control with Graph NetworksExploiting relational inductive bias to improve generalization and control9 min read·Mar 16, 2019--3--3
Or RivlininTowards Data ScienceLearning to Plan with Value Iteration NetworksNeural Networks that can learn to mimic planning algorithms9 min read·Mar 5, 2019--1--1
Or RivlininTowards Data ScienceReinforcement Learning Using a Single DemonstrationLearning from Demonstration7 min read·Feb 16, 2019----
Or RivlininTowards Data ScienceReinforcement Learning with Hindsight Experience ReplaySparse and Binary Rewards10 min read·Jan 31, 2019--2--2
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…7 min read·Jan 24, 2019--3--3