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Trajectory based lateral control: A reinforcement learning case study A Wasala, D Byrne, P Miesbauer, J O’Hanlon, P Heraty, P Barry Engineering Applications of Artificial Intelligence 94, 103799, 2020 | 28 | 2020 |
Jumanji: a diverse suite of scalable reinforcement learning environments in jax C Bonnet, D Luo, D Byrne, S Surana, S Abramowitz, P Duckworth, ... arXiv preprint arXiv:2306.09884, 2023 | 19 | 2023 |
PyTorch Lightning. GitHub. 2019 W Falcon, J Borovec, A Wälchli, N Eggert, J Schock, J Jordan, N Skafte, ... | 11 | 2019 |
Flashbax: Streamlining experience replay buffers for reinforcement learning with jax, 2023 E Toledo, L Midgley, D Byrne, CR Tilbury, M Macfarlane, C Courtot, ... URL https://github. com/instadeepai/flashbax 7, 0 | 8 | |
Jumanji: a diverse suite of scalable reinforcement learning environments in jax, 2023 C Bonnet, D Luo, D Byrne, S Surana, V Coyette, P Duckworth, LI Midgley, ... URL https://arxiv. org/abs/2306.09884, 0 | 8 | |
Jumanji: Industry-Driven Hardware-Accelerated RL Environments.(2022) C Bonnet, D Byrne, V Le, L Midgley, D Luo, C Waters, S Abramowitz, ... URL https://github. com/instadeepai/jumanji, 2022 | 6 | 2022 |
Td3: Learning to run with ai D Byrne URL: https://towardsdatascience. com/td3-learning-to-run-with-ai-40dfc512f93 …, 2019 | 3 | 2019 |
Jumanji: a Suite of Diverse and Challenging Reinforcement Learning Environments in JAX C Bonnet, D Luo, D Byrne, S Abramowitz, V Coyette, P Duckworth, ... | 2 | 2023 |
SMX: Sequential Monte Carlo Planning for Expert Iteration MV Macfarlane, E Toledo, D Byrne, S Singh, P Duckworth, A Laterre arXiv preprint arXiv:2402.07963, 2024 | | 2024 |
SPO: Sequential Monte Carlo Policy Optimisation M Macfarlane, E Toledo, DJ Byrne, P Duckworth, A Laterre The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
SMX: Sequential Monte Carlo Planning for Expert Iteration E Toledo, M Macfarlane, DJ Byrne, S Singh, P Duckworth, A Laterre ICML 2024 Workshop: Foundations of Reinforcement Learning and Control …, 0 | | |