Alternatives and similar repositories for Doric

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

• kaixin96 / mixreg
  Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization
  ☆33Updated 4 years ago
• ChristosKap / policy_consolidation
  Code for Policy Consolidation for Continual Reinforcement Learning
  ☆10Updated 6 years ago
• TomVeniat / ProgressiveNeuralNetworks.pytorch
  Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework
  ☆51Updated 5 years ago
• awarelab / continual_world
  ☆102Updated last year
• nicklashansen / policy-adaptation-during-deployment
  Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
  ☆113Updated 4 years ago
• eric-mitchell / macaw
  Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]
  ☆47Updated 2 years ago
• Lifelong-ML / LPG-FTW
  ☆20Updated 3 years ago
• FerranAlet / modular-metalearning
  ☆78Updated 4 years ago
• ezliu / dream
  Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning
  ☆90Updated 2 years ago
• pimdh / causal-confusion
  Code for paper Causal Confusion in Imitation Learning
  ☆46Updated 5 years ago
• yusukeurakami / plan2explore-pytorch
  ☆43Updated 4 years ago
• jsikyoon / bmaml_rl
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆20Updated 2 years ago
• kristery / Imitation-Learning-from-Imperfect-Demonstration
  [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"
  ☆49Updated 6 years ago
• Wenxuan-Zhou / EPI
  Code for Environment Probing Interaction Policies [ICLR 2019]
  ☆29Updated 6 years ago
• kaixin96 / rl-generalization-paper
  A list of papers regarding generalization in (deep) reinforcement learning
  ☆152Updated 2 years ago
• amazon-science / replay-based-recurrent-rl
  Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"
  ☆33Updated 2 years ago
• rr-learning / CausalWorld
  CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
  ☆231Updated 2 years ago
• microsoft / IBAC-SNI
  Code to reproduce the NeurIPS 2019 paper "Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottlen…
  ☆50Updated 5 years ago
• taodav / nsrs
  Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.
  ☆14Updated last year
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated 2 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆102Updated 2 years ago
• lmzintgraf / cavia
  Code for "Fast Context Adaptation via Meta-Learning"
  ☆144Updated 4 years ago
• khurramjaved96 / mrcl
  Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
  ☆204Updated last year
• WilsonWangTHU / NerveNet
  ☆118Updated 6 years ago
• vuoristo / MMAML-Regression
  ☆22Updated 4 years ago
• suyoung-lee / LDM
  Latent Dynamics Mixture, NeurIPS 2021
  ☆17Updated 2 years ago
• younggyoseo / CaDM
  CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
  ☆63Updated 5 years ago
• yusukeurakami / dreamer-pytorch
  pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
  ☆166Updated 8 months ago
• psclklnk / spdl
  Source code for the Self-Paced Deep Reinforcement Learning Experiments
  ☆32Updated 2 years ago
• pokaxpoka / netrand
  Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020
  ☆54Updated 5 years ago