Showing 1 - 11 results of 11 for search 'Igl, M', query time: 0.03s
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TreeQN and ATreeC: differentiable tree planning for deep reinforcement learning by Farquhar, G, Rocktaeschel, T, Igl, M, Whiteson, S
Published 2018Conference item -
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Auto-encoding sequential Monte Carlo by Le, T, Igl, M, Rainforth, T, Jin, T, Wood, F
Published 2018Conference item -
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Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing by Blake, C, Kurin, V, Igl, M, Whiteson, SA
Published 2021Conference item -
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Deep variational reinforcement learning for POMDPs by Igl, M, Zintgraf, L, Le, T, Wood, F, Whiteson, S
Published 2018Conference item -
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My body is a cage: the role of morphology in graph−based incompatible control by Kurin, V, Igl, M, Rocktaschel, T, Boehmer, W, Whiteson, S
Published 2021Conference item -
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Transient non−stationarity and generalisation in deep reinforcement learning by Igl, M, Farquhar, G, Luketina, J, Boehmer, W, Whiteson, S
Published 2021Conference item -
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Tighter variational bounds are not necessarily better by Rainforth, T, Kosiorek, A, Le, T, Maddison, C, Igl, M, Wood, F, Teh, Y
Published 2018Conference item -
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VariBAD: a very good method for Bayes-adaptive deep RL via meta-learning by Zintgraf, L, Shiarlis, K, Igl, M, Schulze, S, Gal, Y, Hofmann, K, Whiteson, S
Published 2020Conference item -
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Exploration in approximate hyper-state space for meta reinforcement learning by Zintgraf, L, Feng, L, Lu, C, Igl, M, Hartikainen, K, Hofmann, K, Whiteson, S
Published 2021Conference item -
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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
Published 2022Conference item