متابعة
Olivier Sigaud
Olivier Sigaud
Professor in Computer Science, Sorbonne Université
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Markov decision processes in artificial intelligence‏
John Wiley & Sons, 2010‏
393*2010
Many regression algorithms, one unified model: A review‏
F Stulp, O Sigaud‏
Neural Networks 69, 60-79, 2015‏
2792015
Path integral policy improvement with covariance matrix adaptation‏
F Stulp, O Sigaud‏
arXiv preprint arXiv:1206.4621, 2012‏
2652012
CURIOUS: Intrinsically motivated multi-task multi-goal reinforcement learning‏
C Colas, P Fournier, O Sigaud, PY Oudeyer‏
239*2018
Anticipatory behavior in adaptive learning systems: From brains to individual and social behavior‏
MV Butz, O Sigaud, G Pezzulo, G Baldassarre‏
Lecture Notes In Artificial Intelligence, Springer, 2007‏
203*2007
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms‏
C Colas, O Sigaud, PY Oudeyer‏
International Conference in Machine Learning (ICML), 2018‏
1912018
CEM-RL: Combining evolutionary and gradient-based methods for policy search‏
A Pourchot, O Sigaud‏
International Conference on Learning Representations (ICLR), 2018‏
1882018
Robot skill learning: From reinforcement learning to evolution strategies‏
F Stulp, O Sigaud‏
Paladyn, Journal of Behavioral Robotics 4 (1), 49-61, 2013‏
1792013
On-line regression algorithms for learning mechanical models of robots: a survey‏
O Sigaud, C Salaün, V Padois‏
Robotics and Autonomous Systems 59 (12), 1115-1129, 2011‏
1752011
Grounding large language models in interactive environments with online reinforcement learning‏
T Carta, C Romac, T Wolf, S Lamprier, O Sigaud, PY Oudeyer‏
arXiv preprint arXiv:2302.02662 (ICML 2023), 2023‏
1662023
Learning the structure of factored markov decision processes in reinforcement learning problems‏
T Degris, O Sigaud, PH Wuillemin‏
Proceedings of the 23rd international conference on Machine learning, 257-264, 2006‏
1622006
Learning classifier systems: a survey‏
O Sigaud, SW Wilson‏
Soft Computing 11, 1065-1078, 2007‏
1512007
Autotelic agents with intrinsically motivated goal-conditioned reinforcement learning: a short survey‏
C Colas, T Karch, O Sigaud, PY Oudeyer‏
Journal of Artificial Intelligence Research 74, 1159-1199, 2022‏
1382022
The problem with DDPG: understanding failures in deterministic environments with sparse rewards‏
G Matheron, N Perrin, O Sigaud‏
arXiv preprint arXiv:1911.11679, 2019‏
135*2019
Anticipatory behavior in adaptive learning systems: Foundations, Theories and Systems‏
MV Butz, O Sigaud, P Gérard‏
Lecture Notes in Artificial Intelligence,, 2003‏
1282003
Anticipatory behavior: Exploiting knowledge about the future to improve current behavior‏
MV Butz, O Sigaud, P Gérard‏
Anticipatory behavior in adaptive learning systems: Foundations, theories …, 2003‏
1272003
How many random seeds? statistical power analysis in deep reinforcement learning experiments‏
C Colas, O Sigaud, PY Oudeyer‏
arXiv preprint arXiv:1806.08295, 2018‏
1242018
Internal models and anticipations in adaptive learning systems‏
MV Butz, O Sigaud, P Gerard‏
Anticipatory behavior in adaptive learning systems: Foundations, theories …, 2003‏
1232003
Policy Search in Continuous Action Domains: an Overview‏
O Sigaud, F Stulp‏
Neural Networks, https://doi.org/10.1016/j.neunet.2019.01, 2018‏
1092018
Unsupervised learning of goal spaces for intrinsically motivated goal exploration‏
A Péré, S Forestier, O Sigaud, PY Oudeyer‏
arXiv preprint arXiv:1803.00781, 2018‏
1092018
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20