RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari

Por um escritor misterioso

Descrição

In this issue, we look at MuZero, DeepMind’s new algorithm that learns a model and achieves AlphaZero performance in Chess, Shogi, and Go and achieves state-of-the-art performance on Atari. We also look at Safety Gym, OpenAI’s new environment suite for safe RL.
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
Scheduling UAV Swarm with Attention-based Graph Reinforcement Learning for Ground-to-air Heterogeneous Data Communication
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
RL Weekly 37: Observational Overfitting, Hindsight Credit Assignment, and Procedurally Generated Environment Suite
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
deep learning – Severely Theoretical
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
Johan Gras (@gras_johan) / X
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
PDF) On Reinforcement Learning for the Game of 2048
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
Memory-based Reinforcement Learning
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
PDF) Tensor Implementation of Monte-Carlo Tree Search for Model-Based Reinforcement Learning
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
PDF) Tensor Implementation of Monte-Carlo Tree Search for Model-Based Reinforcement Learning
de por adulto (o preço varia de acordo com o tamanho do grupo)