Alternatives and similar repositories for icml2020_ipft:

Users that are interested in icml2020_ipft are comparing it to the libraries listed below

• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆38Updated 2 years ago
• Stanford-ILIAD / batch-active-preference-based-learning
  Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…
  ☆29Updated 5 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 6 months ago
• resibots / kaushik_2018_multi-dex
  Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)
  ☆13Updated 6 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆32Updated 5 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 5 years ago
• Yusufma03 / DPFRL
  Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)
  ☆25Updated 3 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• yuqingd / sim2real2sim_rad
  ☆55Updated 2 years ago
• dsbrown1331 / bayesianrex
  ☆19Updated 4 years ago
• tgangwani / BMIL
  Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)
  ☆18Updated 2 years ago
• info-structures / ais
  This repository contains the code for RL for POMDPs through learning an Approximate Information State.
  ☆21Updated 3 years ago
• eleurent / phd-defense
  ☆43Updated 4 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
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• NeurEXT / NEXT-learning-to-plan
  ☆21Updated 5 years ago
• laurimi / npgi
  Non-linear policy graph improvement - planning for Dec-POMDPs
  ☆16Updated 4 years ago
• ElisevanderPol / mdp-homomorphic-networks
  ☆29Updated 4 years ago
• KyriacosShiarli / taco
  ☆25Updated 6 years ago
• StanfordASL / BaRC
  Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…
  ☆12Updated 6 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• BerkeleyAutomation / DART
  ☆49Updated 5 years ago
• sebascuri / hucrl
  ☆30Updated last year
• Stanford-ILIAD / easy-active-learning
  Companion code to CoRL 2019 paper: E Bıyık, M Palan, NC Landolfi, DP Losey, D Sadigh. "Asking Easy Questions: A User-Friendly Approach to…
  ☆17Updated 4 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated 2 years ago
• willwhitney / dynamics-aware-embeddings
  Official implementation of DynE, Dynamics-aware Embeddings for RL
  ☆43Updated 4 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 5 years ago
• jaztsong / PILCO-gpytorch
  ☆35Updated 5 years ago
• mohakbhardwaj / SaIL
  ☆17Updated 6 years ago