ppo-pytorch topic
imitation_learning
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
reinforcement-learning
Reinforcement Learning Examples Of Policy Gradients, PPO+GAE, and DDQN Using OpenAI Gym and PyTorch
NeuralABR-Pensieve-PPO-MAML
Reimplementing existing learning-based ABR algorithms for dynamic video streaming. These algorithms were implemented with Pytorch and python3
PPO_Lagrangian_PyTorch
Implementation of PPO Lagrangian in PyTorch
ProtoRL
A Torch Based RL Framework for Rapid Prototyping of Research Papers
Multi_Agent_PPO
Multi agent PPO implementation in Pytorch for Unity ML Agents environments.
gail-pytorch
PyTorch implementation of GAIL and PPO reinforcement learning algorithms
DRL-Base-EMS
DRL-Base-EMS for HEVs