Omegastick / pytorch-cpp-rlLinks
PyTorch C++ Reinforcement Learning
☆524Updated 5 years ago
Alternatives and similar repositories for pytorch-cpp-rl
Users that are interested in pytorch-cpp-rl are comparing it to the libraries listed below
Sorting:
- A PyTorch Platform for Distributed RL☆749Updated 4 years ago
- A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)☆99Updated 6 years ago
- C++ Template Library to Predict, Control, Learn Behaviors, and Represent Learnable Knowledge using On/Off Policy Reinforcement Learning☆206Updated 9 years ago
- Code for the paper "Exploration by Random Network Distillation"☆910Updated 5 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆429Updated last year
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,011Updated 6 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,347Updated last year
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆684Updated 4 years ago
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆448Updated 6 years ago
- Keeping track of RL experiments☆163Updated 2 years ago
- CuLE: A CUDA port of the Atari Learning Environment (ALE)☆241Updated 2 years ago
- C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.☆1,196Updated last year
- C++ implementation of Proximal Policy Optimization☆87Updated 3 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆547Updated 11 months ago
- Structural implementation of RL key algorithms☆514Updated 2 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated last year
- A3C LSTM Atari with Pytorch plus A3G design☆571Updated 2 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆657Updated 5 years ago
- Reinforcement learning framework to accelerate research☆206Updated 4 years ago
- An implementation of the Augmented Random Search algorithm☆425Updated 4 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆575Updated 2 years ago
- PyTorch implementation of Trust Region Policy Optimization☆447Updated 7 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,249Updated 4 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,078Updated 4 years ago
- Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab☆490Updated 5 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆645Updated last year
- PyTorch implementation of deep reinforcement learning algorithms☆494Updated 3 years ago
- TensorFlow2 Reinforcement Learning☆477Updated 3 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 5 years ago