PyTorch C++ Reinforcement Learning
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Updated
May 3, 2020 - C++
PyTorch C++ Reinforcement Learning
testing MLP, DQN, PPO, SAC, policy-gradient by snake
RL training for quadruped robot(mit minicheetah) various gaits in different velocity based on MPC controller.
PPO implementation by using Pytorch C++ API
RLOP: A Framework for Reinforcement Learning, Optimization and Planning Algorithms
TorchRL is a C++ reinforcement library using PyTorch C++ backend LibTorch
C++ Deep Reinforcement Learning Agent library
Implement some of the core deep RL algorithms with C++
Reinforcement Learning in Flashlight and Arrayfire
A Study on Reinforcement Learning in Starcraft Game Platform as a Collaborative Researcher of Samsung Company.
Reinforcement learning for flight simulation
A parallel reinforcement learning framework written in C++
Trains a deep reinforcement learning agent in simulation testbed environments with the DRLA library.
Trains deep reinforcement learning agents in Atari environments via the DRLA library.
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