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agtf30

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cpo

Constrained Policy Optimization

ddpg

Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

ddpg-cartpole

Stable and robust control a cartpole with DDPG in continuous actions

deep-policy-compression

Bayesian Policy Network Reduction in Deep Reinforcement Learning

deep-symbolic-optimization

Source code for deep symbolic optimization.

e2gan

[ECCV 2020]"Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search" By Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink

e2gan_industrial

glc-abandon

Guaranteed Learning Control

guarantee_learning_control

Model Free Reinforcement Learning with Control Theoretic Guarantee

gym-soccer

kronecker_product

Kronecker_Product in TensorFlow

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

maddpg-mpe

Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

project

pytorch-maddpg

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

rl_compression

rl_quadrotor

sac

Soft-Actor-Critic

sclsac

SCLSAC

sym-q

An official Pytorch implementation for the paper "Sym-Q: Adaptive Symbolic Regression via Sequential Decision-Making".

tdom-ac

Multi-agent Actor-Critic with Time Dynamical Opponent Model

v139

Proceedings of ICML 2021