Alternatives and similar repositories for viper

Users that are interested in viper are comparing it to the libraries listed below

• pokaxpoka / sunrise
  SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
  ☆127Updated 4 years ago
• Hwhitetooth / lirpg
  ☆61Updated 7 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆96Updated 3 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 6 years ago
• PKU-RL / FEN
  FEN Code
  ☆38Updated 5 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆71Updated 8 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 6 years ago
• rmst / rtrl
  PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)
  ☆74Updated 5 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆136Updated 3 years ago
• arushijain94 / SafeOptionCritic
  Safe Option-Critic: Learning Safety in the Option-Critic Architecture
  ☆20Updated 6 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…
  ☆238Updated 2 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆88Updated 4 years ago
• microsoft / oac-explore
  Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
  ☆69Updated 2 years ago
• qlan3 / Explorer
  Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
  ☆95Updated last month
• tuomaso / radial_rl
  Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"
  ☆33Updated last year
• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆98Updated 4 years ago
• lerrel / gym-adv
  Gym environments modified with adversarial agents
  ☆36Updated 8 years ago
• thanard / me-trpo
  ☆92Updated last year
• implementation-matters / code-for-paper
  ☆111Updated 5 years ago
• lerrel / rllab-adv
  Code to train RL agents along with Adversarial distrubance agents
  ☆66Updated 8 years ago
• russellmendonca / maesn_suite
  ☆43Updated 6 years ago
• aviralkumar2907 / BEAR
  Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
  ☆161Updated 5 years ago
• iclavera / learning_to_adapt
  Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
  ☆215Updated 2 years ago
• nathangrinsztajn / Box-World
  Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
  ☆46Updated last year
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆30Updated 5 years ago
• pokaxpoka / netrand
  Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020
  ☆54Updated 5 years ago
• RomainLaroche / SPIBB
  Safe Policy Improvement with Baseline Bootstrapping
  ☆26Updated 5 years ago
• chenhongge / StateAdvDRL
  [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"
  ☆134Updated 3 years ago
• Miffyli / rl-action-space-shaping
  Experiment code for testing effect of various action space transformations in reinforcement learning
  ☆30Updated 5 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago