Alternatives and similar repositories for mixreg

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

• taodav / nsrs
  Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.
  ☆14Updated last year
• younggyoseo / trajectory_mcl
  Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)
  ☆39Updated 5 years ago
• psclklnk / spdl
  Source code for the Self-Paced Deep Reinforcement Learning Experiments
  ☆32Updated 2 years ago
• haoliuhl / taming-maml
  Taming MAML: efficient unbiased meta-reinforcement learning
  ☆30Updated 3 years ago
• tianjunz / NovelD
  ☆40Updated 3 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆32Updated 5 years ago
• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆18Updated 3 years ago
• younggyoseo / CaDM
  CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
  ☆63Updated 5 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• Continual-Lifelong-Learning / resources
  ☆17Updated 5 years ago
• jsikyoon / bmaml_rl
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆20Updated 2 years ago
• Mehooz / BIRD_code
  Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".
  ☆14Updated 4 years ago
• nicklashansen / svea-vit
  Code for the paper "Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation"
  ☆19Updated 2 years ago
• pokaxpoka / netrand
  Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020
  ☆54Updated 5 years ago
• kristery / Imitation-Learning-from-Imperfect-Demonstration
  [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"
  ☆49Updated 6 years ago
• LunjunZhang / world-model-as-a-graph
  Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)
  ☆68Updated 4 years ago
• mila-iqia / SGI
  Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)
  ☆55Updated 4 years ago
• amazon-science / replay-based-recurrent-rl
  Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"
  ☆33Updated 2 years ago
• pokaxpoka / rad_procgen
  RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)
  ☆18Updated 4 years ago
• russellmendonca / maesn_suite
  ☆43Updated 7 years ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated 2 years ago
• chandar-lab / Lifelong-Hanabi
  A Continual Multi-agent RL testbed based on Hanabi
  ☆31Updated 4 years ago
• younggyoseo / RE3
  RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
  ☆69Updated 4 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆102Updated 2 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 years ago
• rraileanu / idaac
  ☆54Updated last year
• tessavdheiden / social_empowerment
  ☆17Updated last year
• eric-mitchell / macaw
  Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]
  ☆47Updated 2 years ago
• ezliu / dream
  Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning
  ☆90Updated 2 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago