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2020 – today
- 2024
[c9]Thomas Coste, Usman Anwar, Robert Kirk, David Krueger:
Reward Model Ensembles Help Mitigate Overoptimization. ICLR 2024- [c8]Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tim Rocktäschel, Edward Grefenstette, David Scott Krueger:
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks. ICLR 2024 - [c7]Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu:
Understanding the Effects of RLHF on LLM Generalisation and Diversity. ICLR 2024 - [c6]Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu:
Generalization to New Sequential Decision Making Tasks with In-Context Learning. ICML 2024 - [i11]Daniel Tan, David Chanin, Aengus Lynch, Dimitrios Kanoulas, Brooks Paige, Adrià Garriga-Alonso, Robert Kirk:
Analyzing the Generalization and Reliability of Steering Vectors. CoRR abs/2407.12404 (2024) - 2023
- [j3]Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel:
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning. J. Artif. Intell. Res. 76: 201-264 (2023) - [c5]Cindy Wu, Ekdeep Singh Lubana, Bruno Kacper Mlodozeniec, Robert Kirk, David Krueger:
What Mechanisms Does Knowledge Distillation Distill? UniReps 2023: 60-75 - [i10]Thomas Coste, Usman Anwar, Robert Kirk, David Krueger:
Reward Model Ensembles Help Mitigate Overoptimization. CoRR abs/2310.02743 (2023) - [i9]Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu:
Understanding the Effects of RLHF on LLM Generalisation and Diversity. CoRR abs/2310.06452 (2023) - [i8]Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Edward Grefenstette, Tim Rocktäschel, David Scott Krueger:
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks. CoRR abs/2311.12786 (2023) - [i7]Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu:
Generalization to New Sequential Decision Making Tasks with In-Context Learning. CoRR abs/2312.03801 (2023) - [i6]Alexandra Souly, Timon Willi, Akbir Khan, Robert Kirk, Chris Lu, Edward Grefenstette, Tim Rocktäschel:
Leading the Pack: N-player Opponent Shaping. CoRR abs/2312.12564 (2023) - 2022
- [i5]Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin
, Maciej Sypetkowski, Michal Sypetkowski:
Insights From the NeurIPS 2021 NetHack Challenge. CoRR abs/2203.11889 (2022) - [i4]Zhengyao Jiang, Tianjun Zhang, Robert Kirk, Tim Rocktäschel, Edward Grefenstette:
Graph Backup: Data Efficient Backup Exploiting Markovian Transitions. CoRR abs/2205.15824 (2022) - [i3]Alan Clark, Shoaib Ahmed Siddiqui, Robert Kirk, Usman Anwar, Stephen Chung, David Krueger:
Domain Generalization for Robust Model-Based Offline Reinforcement Learning. CoRR abs/2211.14827 (2022) - 2021
- [c4]Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski:
Insights From the NeurIPS 2021 NetHack Challenge. NeurIPS (Competition and Demos) 2021: 41-52 - [c3]Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel:
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. NeurIPS Datasets and Benchmarks 2021 - [i2]Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel:
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. CoRR abs/2109.13202 (2021) - [i1]Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel:
A Survey of Generalisation in Deep Reinforcement Learning. CoRR abs/2111.09794 (2021)
2000 – 2009
- 2006
- [j2]Robert Kirk:
Physicalism and strict implication. Synth. 151(3): 523-536 (2006)
1990 – 1999
- 1996
- [j1]Robert Kirk:
How physicalists can avoid reductionism. Synth. 108(2): 157-170 (1996)
1980 – 1989
- 1981
- [c2]Pauline Ng, Wolfram Glauert, Robert Kirk:
A timing verification system based on extracted MOS/VLSI circuit parameters. DAC 1981: 288-292 - 1980
- [c1]Dave Clary, Robert Kirk, Steve Sapiro:
SIDS (A Symbolic Interactive Design System). DAC 1980: 292-295
Coauthor Index
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