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rad_openaigym

RAD: Reinforcement Learning with Augmented Data (code for state augmentation)

rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

rank-corr

An application designed to teach the ranked correlation measures Kendall's tau, Spearman's rho, and average precision.

rebib

Retrieve information from DBLP and update BibTex files automatically

reinforcejs

Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

reinforcement-learning

GridWorld solved with VI, PI, SARSA, Expected SARSA, SARSA Lambda, Q learning, Double Q learning.

reinforcement-learning-1

Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay

reinforcement-learning-2nd-edition-by-sutton-exercise-solutions

Solutions of Reinforcement Learning, An Introduction

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-an-introduction-1

Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).

reinforcement-learning-an-introduction-2

My solutions to Sutton & Barto - Reinforcement Learning

reinforcement_learning_in_python

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

relod

An efficient remote-onboard architecture for real-time Reinforcement Learning

resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/

reward-weighted-regression

reward_shaping

risk-sensitive-rl

Adaptive Risk Tendency Implicit Quantile Network for Drone Navigation under Partial Observability.

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl-double-q-learning

A project comparing regular and double Q-learning reinforcement learning algorithms on different grid-world environments

rl-experiments

Reinforcement Learning experiments, comparing performance of Q-learning and Double Q-learning algorithms.

rllabplusplus

rlpy

A pytorch-version implementation of RL algorithms. Now it collects TRPO, ClipPPO, A2C, GAIL and ADCV.

rlpy3

RLPy Reinforcement Learning Framework: Python3 fork

rl_environments

A list of Reinforcement Learning Environments

rl_openai

RL with OpenAI Gym

robogym

Robotics Gym Environments

run_based_segmentation

An ongoing implementation ros node on `fast segmentation of 3d point clouds: a paradigm`...

safe-reinforcement-learning-baselines

The repository is for safe reinforcement learning baselines.

safety-starter-agents

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

save-my-cat

Small game with Python Tkinter