[HTML][HTML] Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge
A Beikmohammadi, S Magnússon - Information Sciences, 2024 - Elsevier
Despite the huge success of reinforcement learning (RL) in solving many difficult problems,
its Achilles heel has always been sample inefficiency. On the other hand, in RL, taking …
its Achilles heel has always been sample inefficiency. On the other hand, in RL, taking …
Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge
A Beikmohammadi, S Magnússon - 2024 - dl.acm.org
Despite the huge success of reinforcement learning (RL) in solving many difficult problems,
its Achilles heel has always been sample inefficiency. On the other hand, in RL, taking …
its Achilles heel has always been sample inefficiency. On the other hand, in RL, taking …
Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge
A Beikmohammadi, S Magnússon - Information Sciences, 2024 - diva-portal.org
Despite the huge success of reinforcement learning (RL) in solving many difficult problems,
its Achilles heel has always been sample inefficiency. On the other hand, in RL, taking …
its Achilles heel has always been sample inefficiency. On the other hand, in RL, taking …
[PDF][PDF] Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge
A Beikmohammadi, S Magnússon - Information Sciences, 2024 - researchgate.net
Despite the huge success of reinforcement learning (RL) in solving many difficult problems,
its Achilles heel has always been sample inefficiency. On the other hand, in RL, taking …
its Achilles heel has always been sample inefficiency. On the other hand, in RL, taking …