bluecontra

AAAI2021-VDFP

Source code and raw data of learning curves for AAAI 2021 paper - 《Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction》

pymarl_alpha

Alpha code release for Python Multi-Agent Reinforcement Learning framework

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

bluecontra.github.io

CommNet-BiCnet

CommNet and BiCnet implementation in tensorflow

count_based_exploration_sr

ddrl

Deep Developmental Reinforcement Learning

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deterministic-variational-inference

Sample code for running deterministic variational inference to train Bayesian neural networks

dreamer

Dream to Control: Learning Behaviors by Latent Imagination

DRL

gym-minigrid

Minimalistic gridworld environment for OpenAI Gym

icnn

Input Convex Neural Networks

large-scale-curiosity

MATC_Env

Multi-agent Trash Collecting domains used in research paper 《Hierarchical Deep Multiagent Reinforcement Learning》 (arXiv:1809.09332)

models

Models and examples built with TensorFlow

MPHRL

Model Primitive Hierarchical Reinforcement Learning

P3O

P3O paper code

planet

Deep Planning Network: Control from pixels by latent planning with learned dynamics

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).

random-network-distillation

revisiting-ppo

scalable_agent

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch.

smac

SMAC: The StarCraft Multi-Agent Challenge

SteinGAN

code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning

TD3

PyTorch implementation of TD3 and DDPG for OpenAI gym tasks

transformer-tensorflow

Implementation of Transformer Model in Tensorflow

tsallis_actor_critic_mujoco

Implementation of Tsallis Actor Critic method