Junewind

Policy-Gradient

A simple policy gradient algorithm

RLBNK

code for RLBNK paper

python-parallel

plot

Codes for plotting in the RL project

beauty

PARL

A high-performance distributed training framework for Reinforcement Learning

rlpyt

Reinforcement Learning in PyTorch

PyTorch-RL

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

offline-rl-neurips.github.io

tangjianpku.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Imitation-Learning-Paper-Lists

Paper Collection for Imitation Learning in RL.

TradingGym

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

imitation_learning

PyTorch implementation of some reinforcement learning algorithms: Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), V-MPO, Behavior Cloning (BC). More algorithms will be added.

Code-for-Error-Bounds-of-Imitating-Policies-and-Environments

Junction_Classification

use Matlab code to classify 10 junctions on campus/Pattern recognition coursework

Reinforcement-Learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

deep-pilco-torch

Deep PILCO PyTorch Implementation

RL-based-rule-learning

RL-PriorKnowledge

Reinforcement-Learning-with-Prior-Knowledge

RL experiment with prior knowledge

policies_logic_programs

Few-shot Bayesian Imitation Learning with Policies as Logic over Programs

Junewind.github.io

Deterministic-GAIL-PyTorch

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

ILPO

Official implementation of ICML paper Imitating Latent Policies from Observation

RL-Transfer

Learning to Transfer Knowledge in Playing Atari

air-combat-Reinforcement-Learning

利用值函数逼近网络设计无人机空战自主决策系统，目前是初步的程序编写，之后会不断更新和详解。

Reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

SG_DBN

Implementation of a dynamic bayesian network used to learn a social greeting behavioral intervention

DeepPILCO

bayesian-deep-learning-demystified

In which I try to demystify the fundamental concepts behind Bayesian deep learning.