Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games. - Chathura Nagoda Gamage; Vimukthini Pinto; Cheng Xue 008; Matthew Stephenson; Peng Zhang 021; Jochen Renz (CoG, 2021)

The Difficulty of Novelty Detection in Open-World Physical Domains: An Application to Angry Birds. - Vimukthini Pinto; Cheng Xue 008; Chathura Nagoda Gamage; Jochen Renz (CoRR, 2021)

Phy-Q: A Benchmark for Physical Reasoning. - Cheng Xue 008; Vimukthini Pinto; Chathura Nagoda Gamage; Ekaterina Nikonova; Peng Zhang 021; Jochen Renz (CoRR, 2021)

Measuring Difficulty of Novelty Reaction. - Ekaterina Nikonova; Cheng Xue 008; Vimukthini Pinto; Chathura Nagoda Gamage; Peng Zhang 021; Jochen Renz (CoRR, 2022)

Don't do it: Safer Reinforcement Learning With Rule-based Guidance. - Ekaterina Nikonova; Cheng Xue 008; Jochen Renz (CoRR, 2022)

NovPhy: A Testbed for Physical Reasoning in Open-world Environments. - Chathura Nagoda Gamage; Vimukthini Pinto; Cheng Xue 008; Peng Zhang 021; Ekaterina Nikonova; Matthew Stephenson; Jochen Renz (CoRR, 2023)

Efficient Open-world Reinforcement Learning via Knowledge Distillation and Autonomous Rule Discovery. - Ekaterina Nikonova; Cheng Xue 008; Jochen Renz (CoRR, 2023)

Rapid Open-World Adaptation by Adaptation Principles Learning. - Cheng Xue 008; Ekaterina Nikonova; Peng Zhang 021; Jochen Renz (CoRR, 2023)

Phy-Q as a measure for physical reasoning intelligence. - Cheng Xue 008; Vimukthini Pinto; Chathura Nagoda Gamage; Ekaterina Nikonova; Peng Zhang 021; Jochen Renz (Nat. Mac. Intell., 2023)

NovPhy: A physical reasoning benchmark for open-world AI systems. - Vimukthini Pinto; Chathura Nagoda Gamage; Cheng Xue 008; Peng Zhang 021; Ekaterina Nikonova; Matthew Stephenson; Jochen Renz (Artif. Intell., 2024)

NovPhy: A Physical Reasoning Benchmark for Open-World AI Systems Author Links Open Overlay Panel (Abstract Reprint). - Vimukthini Pinto; Chathura Nagoda Gamage; Cheng Xue 008; Peng Zhang 021; Ekaterina Nikonova; Matthew Stephenson; Jochen Renz (IJCAI, 2025)