Fisher's Blog

06-01

Hindsight Experience Replay

03-22

Soft Actor-Critic

02-08

Noisy Networks for Exploration

01-02

Distributed Prioritized Experience Replay

12-29

Python 与 Unity mlagents 交互 API

12-26

Clipped Action Policy Gradient

11-13

Reinforcement Learning with Deep Energy-Based Policies

11-12

A Connection Between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models

11-03

Progressive Neural Networks & PathNet

10-09

Deep Exploration via Bootstrapped DQN

10-04

Q-Learning with Continuous Actions

09-28

Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models

08-21

Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks

08-03

Memory-Based Control With Recurrent Neural Networks

07-18

Deep Reinforcement Learning In Parameterized Action Space

07-16

High-Dimensional Continuous Control Using Generalized Advantage Estimation

07-12

Tensorflow RNN

07-06

Proximal Policy Optimization 代码实现

07-03

Proximal Policy Optimization Algorithms

06-30

Trust Region Policy Optimization