Alternatives and similar repositories for sigma-girl-MIIRL

Users that are interested in sigma-girl-MIIRL are comparing it to the libraries listed below

• tarod13 / laplacian_dual_dynamics
  Dual optimization to learn laplacian eigenpairs in arbitrary spaces
  ☆15Updated last year
• oist-cnru / Variational-Recurrent-Models
  Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…
  ☆55Updated 4 years ago
• mklissa / dceo
  Learning diverse options through the Laplacian representation.
  ☆23Updated last year
• MarcoMeter / neroRL
  Deep Reinforcement Learning Framework done with PyTorch
  ☆40Updated 9 months ago
• ElisevanderPol / symmetrizer
  ☆32Updated 4 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 5 months ago
• lmzintgraf / varibad
  Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)
  ☆198Updated 2 years ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated 2 years ago
• vivekmyers / empowerment_successor_representations
  Code for the paper "Learning to Assist Humans without Inferring Rewards"
  ☆18Updated last year
• JasonMa2016 / CODAC
  Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)
  ☆23Updated 4 years ago
• moratodpg / imp_marl
  IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
  ☆45Updated 2 months ago
• toshikwa / slac.pytorch
  PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).
  ☆94Updated last year
• yuchen-x / MacroMARL
  ☆23Updated last year
• XanderJC / scalable-birl
  Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.
  ☆46Updated 4 years ago
• Howuhh / prioritized_experience_replay
  Prioritized Experience Replay implementation with proportional prioritization
  ☆85Updated 2 years ago
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆105Updated last year
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆47Updated 4 years ago
• rraileanu / idaac
  ☆54Updated last year
• GilgameshD / GRADER
  This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…
  ☆35Updated 2 years ago
• twni2016 / f-IRL
  Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020
  ☆45Updated 2 years ago
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆46Updated 4 years ago
• luckeciano / transformers-metarl
  Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022
  ☆65Updated 2 years ago
• eric-mitchell / macaw
  Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]
  ☆46Updated 3 years ago
• google-deepmind / active_ops
  ☆32Updated last year
• daniellawson9999 / online-decision-transformer
  An unofficial implementation for online decision transformer
  ☆40Updated 3 years ago
• frt03 / generalized_dt
  Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)
  ☆69Updated 3 years ago
• tianjunz / NovelD
  ☆40Updated 4 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…
  ☆47Updated 3 years ago
• uncharted-technologies / risk-and-uncertainty
  Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"
  ☆31Updated 3 years ago
• camall3n / markov-state-abstractions
  Image-based gridworld experiment for learning Markov state abstractions
  ☆21Updated last year