Alternatives and similar repositories for policy-distillation:

Users that are interested in policy-distillation are comparing it to the libraries listed below

• montaserFath / BCO
  behavior cloning from observation
  ☆35Updated 4 years ago
• illidanlab / opolo-code
  ☆31Updated 3 years ago
• shlee94 / Off2OnRL
  ☆55Updated 2 years ago
• CUN-bjy / policy-distillation-baselines
  Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.
  ☆56Updated 3 years ago
• rraileanu / idaac
  ☆54Updated last year
• DesikRengarajan / LOGO
  [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
  ☆26Updated 3 years ago
• fiberleif / POfD
  Reimplementation of Policy Optimization with Demonstrations (POfD) from ICML 2018.
  ☆14Updated 5 years ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆54Updated last year
• hari-sikchi / AWAC
  Advantage weighted Actor Critic for Offline RL
  ☆50Updated 2 years ago
• namsan96 / SiMPL
  ☆48Updated last year
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆69Updated 8 months ago
• rohitrango / BC-regularized-GAIL
  Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch
  ☆33Updated 4 years ago
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆44Updated 4 years ago
• KarlXing / RL-Visual-Continuous-Control
  RL Algorithms for Visual Continuous Control
  ☆33Updated last year
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆66Updated 8 months ago
• martius-lab / HiTS
  Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021
  ☆31Updated 2 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆38Updated 4 years ago
• twni2016 / f-IRL
  Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020
  ☆44Updated last year
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• Wenxuan-Zhou / PLAS
  Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
  ☆51Updated 3 years ago
• acyclics / MPO
  Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments
  ☆27Updated 4 years ago
• alirezakazemipour / DIAYN-PyTorch
  Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.
  ☆65Updated 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…
  ☆52Updated 4 years ago
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆19Updated last year
• jxu43 / replication-mbpo
  NeurIPS Reproducibility Challenge 2019
  ☆20Updated 5 years ago
• zhihanyang2022 / off-policy-continuous-control
  Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
  ☆83Updated last year
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆51Updated last year
• martius-lab / pink-noise-rl
  ☆41Updated last year
• henrycharlesworth / PlanGAN
  ☆17Updated 3 years ago
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆76Updated 3 months ago