Alternatives and similar repositories for pytorch-trpo

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

• katerakelly / oyster
  Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
  ☆506Updated 3 years ago
• ikostrikov / pytorch-ddpg-naf
  Implementation of algorithms for continuous control (DDPG and NAF).
  ☆313Updated 4 years ago
• reinforcement-learning-kr / pg_travel
  Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)
  ☆370Updated 6 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆435Updated 2 years ago
• WilsonWangTHU / mbbl
  ☆397Updated 6 years ago
• sfujim / BCQ
  Author's PyTorch implementation of BCQ for continuous and discrete actions
  ☆653Updated 4 years ago
• Kaixhin / ACER
  Actor-critic with experience replay
  ☆256Updated 3 years ago
• jannerm / mbpo
  Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
  ☆527Updated 3 years ago
• justinjfu / inverse_rl
  ☆275Updated 7 years ago
• kchua / handful-of-trials
  Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆469Updated 2 years ago
• jeanharb / option_critic
  Implementation of the Option-Critic Architecture on the Atari (ALE) environment
  ☆182Updated 8 years ago
• vy007vikas / PyTorch-ActorCriticRL
  PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.
  ☆420Updated 4 years ago
• jcwleo / random-network-distillation-pytorch
  Random Network Distillation pytorch
  ☆259Updated 6 years ago
• hoangminhle / hierarchical_IL_RL
  Code for hierarchical imitation learning and reinforcement learning
  ☆300Updated 7 years ago
• dgriff777 / a3c_continuous
  A continuous action space version of A3C LSTM in pytorch plus A3G design
  ☆260Updated last year
• andrew-j-levy / Hierarchical-Actor-Critc-HAC-
  This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.
  ☆268Updated 5 years ago
• jachiam / cpo
  Constrained Policy Optimization
  ☆335Updated 8 years ago
• hungtuchen / pytorch-dqn
  Deep Q-Learning Network in pytorch (not actively maintained)
  ☆425Updated 8 years ago
• jonasrothfuss / ProMP
  Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…
  ☆246Updated 3 years ago
• rlcode / per
  Prioritized Experience Replay (PER) implementation in PyTorch
  ☆357Updated 5 years ago
• yrlu / irl-imitation
  Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
  ☆660Updated last year
• MishaLaskin / curl
  CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
  ☆596Updated 5 years ago
• go2sea / DQfD
  An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…
  ☆132Updated 8 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆360Updated 5 years ago
• tristandeleu / pytorch-maml-rl
  Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
  ☆872Updated 3 years ago
• greydanus / baby-a3c
  A high-performance Atari A3C agent in 180 lines of PyTorch
  ☆173Updated 4 years ago
• implementation-matters / code-for-paper
  ☆113Updated 6 years ago
• Khrylx / PyTorch-RL
  PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…
  ☆1,267Updated 4 years ago
• denisyarats / pytorch_sac
  PyTorch implementation of Soft Actor-Critic (SAC)
  ☆582Updated 4 years ago
• sungyubkim / Deep_RL_with_pytorch
  A pytorch tutorial for DRL(Deep Reinforcement Learning)
  ☆223Updated 2 years ago