Deep multi-agent reinforcement learning by Foerster, J

HealVax by Foerster, J, Bachmann, M

Loaded DiCE: Trading off bias and variance in any-order score function gradient estimators for reinforcement learning by Farquhar, G, Whiteson, S, Foerster, J

Optimisation strategies for directed evolution without sequencing by James, J, Towers, S, Foerster, J, Steel, H

Counterfactual multi−agent policy gradients by Foerster, J, Farquhar, G, Afouras, T, Nardelli, N, Whiteson, S

Stable opponent shaping in differentiable games by Letcher, A, Foerster, J, Balduzzi, D, Rocktaschel, T, Whiteson, S

Learning to communicate with Deep multi-agent reinforcement learning by Foerster, J, Assael, Y, de Freitas, N, Whiteson, S

Stabilising experience replay for deep multi-agent reinforcement learning by Foerster, J, Nardelli, N, Farquhar, G, Torr, P, Kohli, P, Whiteson, S

A baseline for any order gradient estimation in stochastic computation graphs by Mao, J, Foerster, J, Rocktaschel, T, Al-Shedivat, M, Farquhar, G, Whiteson, S

DiCE: The infinitely differentiable Monte Carlo estimator by Foerster, J, Farquhar, G, Al-Shedivat, M, Rocktäschel, T, Xing, E, Whiteson, S

QMIX: Monotonic value function factorisation for deep multi-agent reinforcement learning by Rashid, T, Samvelyan, M, Schroeder de Witt, C, Farquhar, G, Foerster, J, Whiteson, S

Learning with opponent-learning awareness by Foerster, J, Chen, R, Al-Shedivat, M, Whiteson, S, Abbeel, P, Mordatch, I

Multi-agent common knowledge reinforcement learning by de Witt, C, Foerster, J, Farquhar, G, Torr, PHS, Boehmer, W, Whiteson, S

JAX-LOB: a GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading by Frey, SY, Li, K, Nagy, P, Sapora, S, Lu, C, Zohren, S, Foerster, J, Calinescu, A

A survey of reinforcement learning informed by natural language by Luketina, J, Nardelli, N, Farquhar, G, Foerster, J, Andreas, J, Grefenstette, E, Whiteson, S, Rocktäschel, T

Communicating via Markov decision processes by Sokota, S, de Witt, CS, Igl, M, Zintgraf, L, Torr, P, Strohmeier, M, Kolter, JZ, Whiteson, S, Foerster, J

Efficient and long-term stable organic vacuum deposited tandem solar cells by Uhrich, C, Schwartz, G, Maennig, B, Gnehr, WM, Sonntag, S, Erfurth, O, Wollrab, E, Walzer, K, Foerster, J, Weiss, A, Tsaryova, O, Leo, K, Riede, M, Pfeiffer, M

Incorporation of tetanus-epitope into virus-like particles achieves vaccine responses even in older recipients in models of psoriasis, Alzheimer’s and cat allergy by Zeltins, A, West, J, Zabel, F, El-Turabi, A, Balke, I, Haas, S, Maudrich, M, Storni, F, Engernoff, P, Jennings, GT, Jennings, GT, Kotecha, A, Stuart, DI, Foerster, J, Bachmann, M

Position: near to mid-term risks and opportunities of open-source generative AI by Eiras, F, Petrov, A, Vidgen, B, Schroeder de Witt, C, Pizzati, F, Elkins, K, Mukhopadhyay, S, Bibi, A, Csaba, B, Steibel, F, Barez, F, Smith, G, Guadagni, G, Chun, J, Cabot, J, Imperial, JM, Nolazco-Flores, JA, Landay, L, Jackson, M, Röttger, P, Torr, PHS, Darrell, T, Lee, YS, Foerster, J

Plasma antibodies to oral bacteria and risk of pancreatic cancer in a large European prospective cohort study by Michaud, D, Izard, J, Wilhelm-Benartzi, C, You, D, Grote, V, Tjønneland, A, Dahm, C, Overvad, K, Jenab, M, Fedirko, V, Boutron-Ruault, M, Clavel-Chapelon, F, Racine, A, Kaaks, R, Boeing, H, Foerster, J, Trichopoulou, A, Lagiou, P, Trichopoulos, D, Sacerdote, C, Sieri, S, Palli, D, Tumino, R, Panico, S, Siersema, P