Feature Based Aggregation And Deep Reinforcement Learning

Feature Based Aggregation and Deep Reinforcement Learning

Dimitri Bertsekas

A friendly introduction to deep reinforcement learning, Q-networks and policy gradients

Serrano.Academy

Deep Reinforcement Learning: Neural Networks for Learning Control Laws

MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)

State Aggregation and Deep Reinforcement Learning for Knapsack Problem

BNAIC-Benelearn 2020

Deep Reinforcement Learning Essential Prerequisite Review

Machine Learning TV

Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning

Google DeepMind

Unsupervised state embedding and aggregation towards scalable reinforcement learning - Mengdi Wang

Institute for Advanced Study

Deep Reinforcement Learning with Real-World Data

RAIL

Deep Reinforcement Learning

Simons Institute

Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces

Takahisa Imagawa

Deep reinforcement learning with successor features for navigation across similar environments

MIT 6.S191: Reinforcement Learning

Alexander Amini

DeepMind x UCL RL Lecture Series - Deep Reinforcement Learning #1 [12/13]

Google DeepMind

Deep Reinforcement Learning Tech Talk

Cambridge Spark

CHIPS Alliance - Learning To Play the Game of Macro Placement with Deep Reinforcement Learning

The power of reinforcement learning and robotics

Model-Based Reinforcement Learning with Value-Targeted Regression

Simons Institute

Deep Reinforcement Learning in a Dynamic Environment: Hongyi Zhang

Software Center

A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning