TAG: mbrl

2017-11 Neural Discrete Representation Learning	2021/08/05 05:46	Hyunsoo Park
2020-10 [MuZero] Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model	2020/07/12 04:42	Hyunsoo Park
2020-10 Smaller World Models for Reinforcement Learning	2021/08/05 05:39	Hyunsoo Park
2021-04 RECON: Rapid Exploration for Open-World Navigation with Latent Goal Models	2021/12/10 18:10	Hyunsoo Park
2021-07 [MBRL] High-Accuracy Model-Based Reinforcement Learning, a Survey	2021/07/20 05:09	Hyunsoo Park
2021-07 Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN	2021/07/20 05:01	Hyunsoo Park
2021-07 Vector Quantized Models for Planning	2021/08/05 06:03	Hyunsoo Park
2021-07 Visual Adversarial Imitation Learning using Variational Models	2021/07/26 11:34	Hyunsoo Park
2021-10 Planning from Pixels in Environments with Combinatorially Hard Search Spaces	2021/10/13 07:18	Hyunsoo Park
2021-11 Procedural Generalization by Planning with Self-Supervised World Models	2021/11/03 02:50	Hyunsoo Park