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George Konidaris

MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds
Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills
Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations
Adaptive Online Value Function Approximation with Wavelets
Learning Abstract and Transferable Representations for Planning
Autonomous Learning of Object-Centric Abstractions for High-Level Planning
Learning Portable Representations for High-Level Planning
Learning Object-Centric Representations for High-Level Planning in Minecraft
Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces
Learning to Plan with Portable Symbols
An Analysis of Monte Carlo Tree Search
An Investigation into the Effectiveness of Heavy Rollouts in UCT
Reinforcement Learning with Parameterized Actions
Nonparametric Bayesian Reward Segmentation for Skill Discovery Using Inverse Reinforcement Learning
Language Performance at High School and Success in First Year Computer Science

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