Pinned Repositories
a2oc_delib
A3C style Option-Critic with deliberation cost
AAAI2021-VDFP
Source code and raw data of learning curves for AAAI 2021 paper - 《Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction》
AdHoc_AAMAS-17
Codification used for the AAMAS-17 paper "Simultaneously Learning and Advising in Multiagent Reinforcement Learning"
CommNet
Neural network model, suitable for multi-agent learning. https://arxiv.org/abs/1605.07736
gym-starcraft
StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)
noreward-rl
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
opponent
Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"
optimal-rewiring
MAS rewiring experiments
pymarl_alpha
Alpha code release for Python Multi-Agent Reinforcement Learning framework
TJU-AI-LabEnv
bluecontra's Repositories
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》
bluecontra/pymarl_alpha
Alpha code release for Python Multi-Agent Reinforcement Learning framework
bluecontra/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
bluecontra/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
bluecontra/bluecontra.github.io
bluecontra/CommNet-BiCnet
CommNet and BiCnet implementation in tensorflow
bluecontra/count_based_exploration_sr
bluecontra/ddrl
Deep Developmental Reinforcement Learning
bluecontra/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
bluecontra/deterministic-variational-inference
Sample code for running deterministic variational inference to train Bayesian neural networks
bluecontra/dreamer
Dream to Control: Learning Behaviors by Latent Imagination
bluecontra/DRL
bluecontra/gym-minigrid
Minimalistic gridworld environment for OpenAI Gym
bluecontra/icnn
Input Convex Neural Networks
bluecontra/large-scale-curiosity
bluecontra/MATC_Env
Multi-agent Trash Collecting domains used in research paper 《Hierarchical Deep Multiagent Reinforcement Learning》 (arXiv:1809.09332)
bluecontra/models
Models and examples built with TensorFlow
bluecontra/MPHRL
Model Primitive Hierarchical Reinforcement Learning
bluecontra/P3O
P3O paper code
bluecontra/planet
Deep Planning Network: Control from pixels by latent planning with learned dynamics
bluecontra/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).
bluecontra/random-network-distillation
bluecontra/revisiting-ppo
bluecontra/scalable_agent
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
bluecontra/SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch.
bluecontra/smac
SMAC: The StarCraft Multi-Agent Challenge
bluecontra/SteinGAN
code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning
bluecontra/TD3
PyTorch implementation of TD3 and DDPG for OpenAI gym tasks
bluecontra/transformer-tensorflow
Implementation of Transformer Model in Tensorflow
bluecontra/tsallis_actor_critic_mujoco
Implementation of Tsallis Actor Critic method