| Neurohex: A deep q-learning hex agent K Young, G Vasan, R Hayward Computer Games, 3-18, 2016 | 13 | 2016 |
| Directly estimating the variance of the {\lambda}-return using temporal-difference methods C Sherstan, B Bennett, K Young, DR Ashley, A White, M White, RS Sutton arXiv preprint arXiv:1801.08287, 2018 | 9 | 2018 |
| Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return. C Sherstan, DR Ashley, B Bennett, K Young, A White, M White, RS Sutton UAI, 63-72, 2018 | 4 | 2018 |
| Metatrace: Online step-size tuning by meta-gradient descent for reinforcement learning control K Young, B Wang, ME Taylor arXiv preprint arXiv:1805.04514, 2018 | 4 | 2018 |
| Integrating episodic memory into a reinforcement learning agent using reservoir sampling KJ Young, RS Sutton, S Yang arXiv preprint arXiv:1806.00540, 2018 | 2 | 2018 |
| MoHex wins Hex 11× 11 and 13× 13 tournament RB Hayward, N Weninger, K Young, K Takada, T Zhang ICGA J.(2017, To appear), 0 | 2 | |
| Metatrace actor-critic: Online step-size tuning by meta-gradient descent for reinforcement learning control K Young, B Wang, ME Taylor arXiv preprint arXiv:1805.04514, 2018 | 1 | 2018 |
| A Reverse Hex Solver K Young, RB Hayward International Conference on Computers and Games, 137-148, 2016 | 1 | 2016 |
| Variance Reduced Advantage Estimation with Hindsight Credit Assignment K Young arXiv preprint arXiv:1911.08362, 2019 | | 2019 |
| A Reverse Hex Solver RB Hayward, B Toft, RB Hayward, B Toft, RB Hayward, B Toft, ... Hex, Inside and Out: The Full Story 98 (9), xi-xiii, 2019 | | 2019 |
| MinAtar: An Atari-inspired Testbed for More Efficient Reinforcement Learning Experiments K Young, T Tian arXiv preprint arXiv:1903.03176, 2019 | | 2019 |
| MOHEX WINS 2016 HEX 11X11 AND 13X13 TOURNAMENTS R Hayward, N Weninger, K Young, K Takada, T Zhang | | |
