Alternatives and similar repositories for Pytorch-RL-CPP

Users that are interested in Pytorch-RL-CPP are comparing it to the libraries listed below

• mhubii / ppo_libtorch
  C++ implementation of Proximal Policy Optimization
  ☆86Updated 2 years ago
• ray-project / rl-experiments
  Keeping track of RL experiments
  ☆161Updated 2 years ago
• Omegastick / pytorch-cpp-rl
  PyTorch C++ Reinforcement Learning
  ☆523Updated 5 years ago
• schatty / oprl
  A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing
  ☆132Updated 11 months ago
• samindaa / RLLib
  C++ Template Library to Predict, Control, Learn Behaviors, and Represent Learnable Knowledge using On/Off Policy Reinforcement Learning
  ☆200Updated 8 years ago
• toshikwa / fqf-iqn-qrdqn.pytorch
  PyTorch implementation of FQF, IQN and QR-DQN.
  ☆178Updated 11 months ago
• neka-nat / distributed_rl
  Pytorch implementation of distributed deep reinforcement learning
  ☆76Updated 2 years ago
• ac-93 / soft-actor-critic
  Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.
  ☆96Updated 5 years ago
• msinto93 / D4PG
  Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…
  ☆125Updated 5 years ago
• NVlabs / cule
  CuLE: A CUDA port of the Atari Learning Environment (ALE)
  ☆237Updated 2 years ago
• cjm715 / mgym
  A collection of multi-agent reinforcement learning OpenAI gym environments
  ☆45Updated 5 years ago
• cyoon1729 / distributedRL
  A framework for easy prototyping of distributed reinforcement learning algorithms
  ☆95Updated 4 years ago
• ml-jku / rudder
  RUDDER: Return Decomposition for Delayed Rewards
  ☆47Updated 4 years ago
• brett-daley / dqn-lambda
  NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.
  ☆23Updated last year
• nikhilbarhate99 / TD3-PyTorch-BipedalWalker-v2
  Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment
  ☆106Updated 6 years ago
• BlueFisher / Advanced-Soft-Actor-Critic
  Soft Actor-Critic with advanced features
  ☆50Updated last week
• adik993 / ppo-pytorch
  Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
  ☆142Updated 6 years ago
• kushagra06 / SAC
  Pytorch implementation of Soft Actor-Critic
  ☆20Updated 5 years ago
• takoika / PrioritizedExperienceReplay
  Yet another prioritized experience replay buffer implementation.
  ☆48Updated 2 years ago
• henrycharlesworth / multi_action_head_PPO
  PPO with multi-head/autoregressive action outputs
  ☆39Updated 4 years ago
• siekmanj / r2l
  Recurrent continuous reinforcement learning algorithms implemented in Pytorch.
  ☆51Updated 4 years ago
• lnpalmer / A2C
  PyTorch implementation of Advantage Actor-Critic (A2C)
  ☆45Updated 7 years ago
• uber-research / ape-x
  This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"
  ☆190Updated 6 years ago
• nikhilbarhate99 / Hierarchical-Actor-Critic-HAC-PyTorch
  PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
  ☆317Updated 3 years ago
• BY571 / DQN-Atari-Agents
  DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…
  ☆123Updated 4 years ago
• CherryPieSexy / imitation_learning
  PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
  ☆144Updated 3 years ago
• denisyarats / pytorch_sac_ae
  PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
  ☆243Updated 5 years ago
• ASzot / ppo-pytorch
  Proximal policy optimization in PyTorch. Easy to read and understand.
  ☆50Updated 4 years ago
• marctuscher / DRQN-tensorflow
  Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
  ☆175Updated 2 years ago
• ppocma / ppocma
  ☆72Updated 6 years ago