statistiche ricercatore

Continente	#
NA - Nord America	832
AS - Asia	679
EU - Europa	563
SA - Sud America	119
AF - Africa	30
Continente sconosciuto - Info sul continente non disponibili	26
OC - Oceania	1
Totale	2.250

Nome	#
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies	220
Configurable Markov Decision Processes	187
Unsupervised Reinforcement Learning in Multiple Environments	158
A Tale of Sampling and Estimation in Discounted Reinforcement Learning	158
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate	158
Convex Reinforcement Learning in Finite Trials	154
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization	152
Challenging Common Assumptions in Convex Reinforcement Learning	144
EXPLOITING CAUSAL GRAPH PRIORS WITH POSTERIOR SAMPLING FOR REINFORCEMENT LEARNING	133
The Importance of Non-Markovianity in Maximum State Entropy Exploration	132
Reward-Free Policy Space Compression for Reinforcement Learning	124
The Limits of Pure Exploration in POMDPs: When the Observation Entropy is Enough	117
How to explore with belief: state entropy maximization in POMDPs	112
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms	110
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach	105
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story	65
Unsupervised Behavioral Compression: Learning Low-Dimensional Policy Manifolds through State-Occupancy Matching	11
From Parameters to Behaviors: Unsupervised Compression of the Policy Space	10
Totale	2.250

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2021/2022	10	0	0	0	0	0	0	1	1	2	0	3	3
2022/2023	65	3	6	0	2	7	6	0	6	16	12	6	1
2023/2024	60	3	7	2	5	2	3	7	11	2	5	1	12
2024/2025	287	7	6	6	7	28	5	15	21	31	26	74	61
2025/2026	1.482	254	266	109	124	52	50	275	60	80	108	21	83
2026/2027	263	75	51	84	53	0	0	0	0	0	0	0	0
Totale													2.250

RE.PUBLIC@POLIMI pubblicazioni di ricerca del Politecnico di Milano