Eccles, Tom

Competition-Level Code Generation with AlphaCode

Li, Y., Choi, D., Chung, J., Kushman, N., Schrittwieser, J., Leblond, R., Eccles, T., Keeling, J., Gimeno, F., Lago, A. D., et al. (2022) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 1,043

Competition-level code generation with AlphaCode

Li, Y., Choi, D., Chung, J., Kushman, N., Schrittwieser, J., Leblond, R., Eccles, T., Keeling, J., Gimeno, F., Dal Lago, A., et al. (2022) · Science

Software Engineering ResearchTeaching and Learning Programming

Cited by 1,043

Gemma 2: Improving Open Language Models at a Practical Size

Gemma Team, Riviere, M., Pathak, S., Sessa, P. G., Hardin, C., Bhupatiraju, S., Hussenot, L., Mesnard, T., Shahriari, B., Ramé, A., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 149

A Generalist Agent

Reed, S., Zolna, K., Parisotto, E., Colmenarejo, S. G., Novikov, A., Barth-Maron, G., Gimenez, M., Sulsky, Y., Kay, J., Springenberg, J. T., et al. (2022) · arXiv

Reinforcement Learning in RoboticsMultimodal Machine Learning Applications

Cited by 63

Biases for Emergent Communication in Multi-agent Reinforcement Learning

Eccles, T., Bachrach, Y., Lever, G., Lazaridou, A., & Graepel, T. (2019) · arXiv

Reinforcement Learning in RoboticsLanguage and cultural evolution

Cited by 42

Learning Reciprocity in Complex Sequential Social Dilemmas

Eccles, T., Hughes, E., Kramár, J., Wheelwright, S., & Leibo, J. Z. (2019) · arXiv

Evolutionary Game Theory and CooperationExperimental Behavioral Economics Studies

Cited by 19