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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bullet3

Mainly focus is the racecar in the pybullet. Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

cpo

Constrained Policy Optimization

cs294-112_hws

My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning

deep-rl-bootcamp

Deep RL Bootcamp solutions

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

experiments-with-neural-style-transfer

gps

Guided Policy Search

gym

A toolkit for developing and comparing reinforcement learning algorithms.

handful-of-trials

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

handful-of-trials-pytorch

Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

mirage-rl-trpo

Fork of https://github.com/ikostrikov/pytorch-trpo with modifications for the paper "The Mirage of Action-Dependent Baselines in Reinforcement Learning".

model-based-ppo

models

Models and examples built with TensorFlow

nn_dynamics

object_collections

Code to accompany our CoRL 2019 paper

ppo

Proximal Policy Optimization implementation with TensorFlow

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-tutorial

Build your neural network easy and fast

quadcopter_sim

simulation of quadcopter using pybullet (calculations) and pyqtgraph (visualisation)

racecar_ppo

reinforcement-learning

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

sornet

Code for SORNet: Spatial Object-Centric Representations for Sequential Manipulation in CoRL 2021 (Best Systems Paper Finalist)

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

trex-gym

OpenAI Gym environment using pybullet for a Tyrannosaur.

trpo

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

trpo-gae

Trust Region Policy Optimization with Generalized Advantage Estimator

trpo-tensorflow

Trust Region Policy Optimization (TRPO) in pure TensorFlow