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ikostrikov
pytorch-a2c-ppo-acktr-gail ikostrikov
831
3.5k
mit
67
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) ...
a2c ale ppo kfac acktr atari mujoco hessian pytorch roboschool actor-critic second-order deep-learning natural-gradients continuous-control advantage-actor-critic reinforcement-learning deep-reinforcement-learning proximal-policy-optimization kronecker-factored-approximation
Created 2017-08-22
274 commits to master branch, last one 2 years ago
IntelLabs
coach IntelLabs
460
2.3k
apache-2.0
127
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
rl onnx carla coach mxnet mujoco starcraft openai-gym roboschool starcraft2 tensorflow deep-learning starcraft2-ai imitation-learning reinforcement-learning distributed-reinforcement-learning hierarchical-reinforcement-learning
This repository has been archived (exclude archived)
Created 2017-10-01
524 commits to master branch, last one about a year ago