Omegastick / pytorch-cpp-rlLinks
PyTorch C++ Reinforcement Learning
☆531Updated 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☆752Updated 4 years ago
- A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)☆101Updated 6 years ago
- Code for the paper "Exploration by Random Network Distillation"☆930Updated 5 years ago
- C++ Template Library to Predict, Control, Learn Behaviors, and Represent Learnable Knowledge using On/Off Policy Reinforcement Learning☆208Updated 9 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆435Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆692Updated last month
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆453Updated 6 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,400Updated 2 years ago
- CuLE: A CUDA port of the Atari Learning Environment (ALE)☆242Updated 3 years ago
- An implementation of the Augmented Random Search algorithm☆427Updated 4 years ago
- PyTorch implementation of Trust Region Policy Optimization☆449Updated 7 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆553Updated last year
- C++ implementation of Proximal Policy Optimization☆89Updated 3 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,018Updated 6 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,273Updated 4 years ago
- C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.☆1,265Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,082Updated 4 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆491Updated 4 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆570Updated 2 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆313Updated 4 years ago
- Keeping track of RL experiments☆166Updated 3 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆661Updated 5 years ago
- TensorFlow2 Reinforcement Learning☆476Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,277Updated 5 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆260Updated last year
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆492Updated last year
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆372Updated 6 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆579Updated 3 years ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆838Updated 3 years ago