TrikAI recommends you this special content...

Title: CS 285: Lecture 12, Part 4

Playlist:Deep Reinforcement Learning: CS 285 Fall 2021 (UC Berkeley)

Author:RAIL

Views: 1933.0

Rating: None

Level: advanced

Length: 10644.0

Type: course

Topics: state policy action reward game agent value actions states reinforcement

Cluster: policy reward state action agent value just learning actions reinforcement





Selection in the same TOPIC

Author
Link
Rating
Level
UdacitySpeed Scatterplot 2 - Intro to Machine Learning5basic
RAILCS 182: Lecture 21: Part 3: Meta-Learning5intermediate
stanfordonlineLecture 6: Search 2 - A* | Stanford CS221: AI (Autumn 2019)5basic
Yannic KilcherDynamics-Aware Unsupervised Discovery of Skills (Paper Explained)5advanced
The AI EpiphanyDQN - Playing Atari with Deep Reinforcement Learning | RL Paper Explained5advanced
ComputerphileEXTRA BITS: AI Gridworlds - Computerphile4.9932885advanced


Selection in the same CLUSTER

Author
Link
Rating
Level
RAILCS 182: Lecture 14: Part 2: Imitation Learning5intermediate
Yannic KilcherAMP: Adversarial Motion Priors for Stylized Physics-Based Character Control (Paper Explained)5advanced
Graham NeubigCMU Advanced NLP 2021 (22): Reinforcement Learning and Structured Learning Algorithms5advanced
ComputerphileEXTRA BITS: AI Gridworlds - Computerphile4.9932885advanced
Yannic KilcherChip Placement with Deep Reinforcement Learning (Paper Explained)4.9849057intermediate
stanfordonlineStanford CS230: Deep Learning | Autumn 2018 | Lecture 9 - Deep Reinforcement Learning4.9820628intermediate


Selection similar CONTENT

Author
Link
Rating
Level
RAILCS 285: Lecture 12, Part 2Noneadvanced
RAILCS 285: Lecture 23, Open Problems, Part 1Noneadvanced
RAILCS 285: Lecture 12, Part 1Noneadvanced
PyDataChao Han: Deep Learning vs. Conventional Machine Learning | PyData Miami 20195intermediate
RAILCS 285: Lecture 22, Meta-Learning, Part 4Noneadvanced
RAILCS 285: Lecture 11, Part 1Noneadvanced