我的随笔

Phasic Policy Gradient

initial_h 2023-04-06 23:43 阅读:308 评论:0 推荐:1

The Predictron: End-To-End Learning and Planning

initial_h 2023-04-03 10:48 阅读:65 评论:0 推荐:0

Sample-Based Learning and Search with Permanent and Transient Memories

initial_h 2023-03-30 12:02 阅读:48 评论:0 推荐:0

Learning model-based planning from scratch

initial_h 2023-03-27 23:24 阅读:91 评论:0 推荐:0

Discretizing Continuous Action Space for On-Policy Optimization

initial_h 2023-03-23 12:04 阅读:118 评论:0 推荐:0

Finite-time Analysis of the Multiarmed Bandit Problem

initial_h 2023-03-20 07:45 阅读:309 评论:0 推荐:0

Disentangling the independently controllable factors of variation by interacting with the world

initial_h 2023-03-18 23:35 阅读:46 评论:0 推荐:0

COMBINING Q-LEARNING AND SEARCH WITH AMORTIZED VALUE ESTIMATES

initial_h 2023-03-06 01:03 阅读:127 评论:0 推荐:0

Bandit based Monte-Carlo Planning

initial_h 2023-03-04 00:18 阅读:198 评论:0 推荐:0

Monte-Carlo tree search as regularized policy optimization

initial_h 2023-02-25 23:04 阅读:185 评论:0 推荐:0

HIERARCHICAL REINFORCEMENT LEARNING BY DISCOVERING INTRINSIC OPTIONS

initial_h 2022-12-07 08:44 阅读:180 评论:0 推荐:0

PROCEDURAL GENERALIZATION BY PLANNING WITH SELF-SUPERVISED WORLD MODELS

initial_h 2022-11-25 12:28 阅读:70 评论:0 推荐:0

Deep Exploration via Bootstrapped DQN

initial_h 2022-06-06 23:46 阅读:372 评论:0 推荐:1

Policy Distillation

initial_h 2022-06-06 23:44 阅读:159 评论:0 推荐:0

MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments

initial_h 2022-06-02 21:52 阅读:165 评论:0 推荐:0