Alternatives and similar repositories for Hierarchical-Inverse-Reinforcement-Learning

Users that are interested in Hierarchical-Inverse-Reinforcement-Learning are comparing it to the libraries listed below

• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆74Updated 2 years ago
• xkianteb / dril
  Disagreement-Regularized Imitation Learning
  ☆30Updated 4 years ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆28Updated 5 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆39Updated 2 years ago
• sisl / hgail
  gail, infogail, hierarchical gail implementations
  ☆35Updated 7 years ago
• dsbrown1331 / bayesianrex
  ☆19Updated 4 years ago
• neka-nat / inv_rl
  Inverse Reinforcement Learning Argorithms
  ☆54Updated 6 years ago
• ermongroup / MetaIRL
  Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
  ☆73Updated 2 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• krasheninnikov / max-causal-ent-irl
  Maximum Causal Entropy Inverse Reinforcement Learning
  ☆47Updated 6 years ago
• yasufumy / python_irl
  Basic Inverse Reinforcement Learning method in Python
  ☆9Updated 7 years ago
• thomasrantian / Awesome-Inverse-Reinforcement-Learning
  Literature and code for inverse reinforcement leanring research
  ☆30Updated 5 years ago
• twni2016 / f-IRL
  Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020
  ☆45Updated last year
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• dsbrown1331 / CoRL2019-DREX
  Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…
  ☆50Updated 2 years ago
• kristery / Imitation-Learning-from-Imperfect-Demonstration
  [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"
  ☆48Updated 5 years ago
• RomainLaroche / SPIBB
  Safe Policy Improvement with Baseline Bootstrapping
  ☆26Updated 5 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 7 months ago
• tesatory / selfplay
  Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
  ☆14Updated 7 years ago
• 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…
  ☆54Updated 4 years ago
• johannah / bootstrap_dqn
  Implementation of Bootstrap DQN and Randomized Prior Functions on ALE
  ☆55Updated 2 months ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆30Updated 5 years ago
• HumanCompatibleAI / learning_biases
  Infer how suboptimal agents are suboptimal while planning, for example if they are hyperbolic time discounters.
  ☆25Updated 4 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• jerinphilip / robust-adversarial-rl
  Implementation of Robust Adversarial Reinforcement Learning
  ☆13Updated 7 years ago
• KamyarGh / rl_swiss
  ☆66Updated 5 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• philipjball / SAC_PyTorch
  🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation
  ☆38Updated 3 years ago
• dhruvramani / model-based-atari
  An easy to understand implementation of the paper "Model-Based Reinforcement Learning for Atari"
  ☆15Updated 5 years ago
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆41Updated 3 years ago