Alternatives and similar repositories for pytorch-cpp-rl:

Users that are interested in pytorch-cpp-rl are comparing it to the libraries listed below

• facebookresearch / torchbeast
  A PyTorch Platform for Distributed RL
  ☆744Updated 3 years ago
• navneet-nmk / Pytorch-RL-CPP
  A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)
  ☆92Updated 5 years ago
• samindaa / RLLib
  C++ Template Library to Predict, Control, Learn Behaviors, and Represent Learnable Knowledge using On/Off Policy Reinforcement Learning
  ☆197Updated 8 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆418Updated last year
• rail-berkeley / softlearning
  Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…
  ☆1,254Updated last year
• Shmuma / ptan
  PyTorch Agent Net: reinforcement learning toolkit for pytorch
  ☆538Updated 2 months ago
• uber-research / ape-x
  This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"
  ☆189Updated 5 years ago
• medipixel / rl_algorithms
  Structural implementation of RL key algorithms
  ☆510Updated last year
• NVlabs / cule
  CuLE: A CUDA port of the Atari Learning Environment (ALE)
  ☆233Updated 2 years ago
• reinforcement-learning-kr / pg_travel
  Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)
  ☆370Updated 5 years ago
• ikostrikov / pytorch-ddpg-naf
  Implementation of algorithms for continuous control (DDPG and NAF).
  ☆307Updated 3 years ago
• MorvanZhou / pytorch-A3C
  Simple A3C implementation with pytorch + multiprocessing
  ☆623Updated last year
• zhangchuheng123 / Reinforcement-Implementation
  Implementation of benchmark RL algorithms
  ☆463Updated 2 years ago
• ray-project / rl-experiments
  Keeping track of RL experiments
  ☆158Updated 2 years ago
• rlcode / per
  Prioritized Experience Replay (PER) implementation in PyTorch
  ☆311Updated 4 years ago
• Khrylx / PyTorch-RL
  PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…
  ☆1,135Updated 3 years ago
• jachiam / cpo
  Constrained Policy Optimization
  ☆308Updated 7 years ago
• ikostrikov / pytorch-a3c
  PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
  ☆1,243Updated 5 years ago
• sisl / MADRL
  Repo containing code for multi-agent deep reinforcement learning (MADRL).
  ☆682Updated last year
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆659Updated 4 years ago
• dgriff777 / a3c_continuous
  A continuous action space version of A3C LSTM in pytorch plus A3G design
  ☆259Updated 3 months ago
• dgriff777 / rl_a3c_pytorch
  A3C LSTM Atari with Pytorch plus A3G design
  ☆563Updated last year
• uber-research / go-explore
  Code for Go-Explore: a New Approach for Hard-Exploration Problems
  ☆559Updated 2 years ago
• ikostrikov / pytorch-trpo
  PyTorch implementation of Trust Region Policy Optimization
  ☆436Updated 6 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆994Updated 5 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆624Updated 6 years ago
• dongminlee94 / deep_rl
  PyTorch implementation of deep reinforcement learning algorithms
  ☆493Updated 3 years ago
• sail-sg / envpool
  C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
  ☆1,115Updated 5 months ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆888Updated 4 years ago
• keiohta / tf2rl
  TensorFlow2 Reinforcement Learning
  ☆471Updated 2 years ago