Alternatives and similar repositories for RIA:

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

• ml-jku / OfflineRL
  ☆29Updated 2 years ago
• martius-lab / cid-in-rl
  Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…
  ☆37Updated 2 years ago
• google-deepmind / active_ops
  ☆32Updated 6 months ago
• clvrai / new-actions-rl
  ☆24Updated 6 months ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• younggyoseo / trajectory_mcl
  Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)
  ☆39Updated 4 years ago
• rraileanu / idaac
  ☆54Updated 11 months ago
• RockySJ / ampo
  ☆15Updated 4 years ago
• davidbrandfonbrener / onestep-rl
  ☆41Updated 3 years ago
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆44Updated 3 years ago
• eric-mitchell / macaw-min
  Clean, extensible implementation of MACAW [ICML 2021]
  ☆13Updated 3 years ago
• sumedh7 / CausalCuriosity
  Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…
  ☆37Updated 3 years ago
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆28Updated 5 years ago
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆25Updated 3 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆28Updated 4 years ago
• Steven-Ho / VALOR
  Implementation of VALOR (Variational Option Discovery Algorithms)
  ☆10Updated 5 years ago
• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆20Updated 3 years ago
• younggyoseo / CaDM
  CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
  ☆62Updated 4 years ago
• polixir / causal-mbrl
  Toolkit of Causal Model-based Reinforcement Learning.
  ☆33Updated last year
• ml-jku / rudder-demonstration-code
  Code for demonstration example-task in RUDDER blog
  ☆22Updated 4 years ago
• sparkmxy / my-offlinerl
  ☆22Updated 2 years ago
• Wenxuan-Zhou / PLAS
  Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
  ☆51Updated 3 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 4 years ago
• jiangsy / slbo_pytorch
  ☆15Updated 4 years ago
• lanyavik / BAIL
  ☆17Updated 2 years ago
• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆15Updated 3 years ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆22Updated 10 months ago
• MouseHu / GEM
  ☆14Updated 3 years ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated last year
• nuria95 / O-RAAC
  Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting
  ☆34Updated 4 years ago