Alternatives and similar repositories for SR-DICE

Users that are interested in SR-DICE are comparing it to the libraries listed below

• RockySJ / ampo
  ☆15Updated 4 years ago
• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆20Updated 3 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• mila-iqia / SGI
  Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)
  ☆54Updated 4 years ago
• jdchang1 / milo
  ☆16Updated 3 years ago
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆24Updated 4 years ago
• manantomar / Mirror-Descent-Policy-Optimization
  Mirror Descent Policy Optimization
  ☆38Updated 4 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 2 weeks ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆23Updated last year
• rraileanu / idaac
  ☆54Updated last year
• google-deepmind / active_ops
  ☆32Updated last year
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆29Updated 5 years ago
• younggyoseo / CaDM
  CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
  ☆63Updated 5 years ago
• rmrafailov / LOMPO
  Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models
  ☆30Updated 4 years ago
• camall3n / markov-state-abstractions
  Image-based gridworld experiment for learning Markov state abstractions
  ☆21Updated 10 months ago
• Cranial-XIX / metric-residual-network
  Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning
  ☆17Updated 2 years ago
• clvrai / new-actions-rl
  ☆24Updated 11 months ago
• younggyoseo / trajectory_mcl
  Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)
  ☆39Updated 4 years ago
• scottemmons / rvs
  Reinforcement Learning via Supervised Learning
  ☆71Updated 3 years ago
• tonyzhaozh / meld
  MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957
  ☆63Updated 4 years ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated 2 years ago
• ml-jku / OfflineRL
  ☆31Updated 2 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆30Updated 5 years ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆41Updated 4 years ago
• frt03 / generalized_dt
  Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)
  ☆67Updated 2 years ago
• apexrl / COIL
  Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"
  ☆18Updated 2 years ago
• younggyoseo / RE3
  RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
  ☆69Updated 4 years ago
• clvrai / agile
  Official implementation of "Know Your Action Set: Learning Action Relations for Reinforcement Learning", Jain et al., ICLR 2022.
  ☆18Updated 3 years ago
• frt03 / mxt_bench
  A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation (ICLR2023)
  ☆13Updated 2 years ago
• Stanford-ILIAD / ELLA
  Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.
  ☆21Updated 4 years ago