Alternatives and similar repositories for ALPaCA:

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

• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 5 years ago
• AnujMahajanOxf / VIREL
  Code for VIREL: A Variational Inference Framework for Reinforcement Learning
  ☆14Updated 5 years ago
• rcheng805 / CORE-RL
  Code implementing the CORE-RL algorithm with DDPG, PPO, and TRPO. See the paper "Control Regularization for Reduced Variance Reinforcemen…
  ☆32Updated 4 years ago
• young-j-park / 18-NeurIPS-APIAE
  ☆21Updated 6 years ago
• zuoxingdong / DeepPILCO
  ☆53Updated 7 years ago
• WilsonWangTHU / POPLIN
  ☆97Updated last year
• ArmaanSethi / Hindsight-Experience-Replay-and-Hierarchical-Reinforcement-Learning
  Comp 781 Project
  ☆8Updated 6 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆29Updated 5 years ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆32Updated 5 years ago
• sebascuri / hucrl
  ☆30Updated last year
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆35Updated 6 years ago
• Yusufma03 / DPFRL
  Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)
  ☆25Updated 3 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆78Updated 5 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• manish-pra / copg
  This repository contains all code and experiments for competitive policy gradient (CoPG) algorithm.
  ☆23Updated 4 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆59Updated 5 months ago
• johannes-fischer / icml2020_ipft
  Code for the ICML 2020 publication "Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continu…
  ☆12Updated 4 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 7 months ago
• befelix / SafeMDP
  Safe exploration in Markov Decision Processes
  ☆37Updated 7 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆108Updated 3 years ago
• ericjang / e2c
  TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆65Updated 8 years ago
• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆50Updated 5 years ago
• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆40Updated 11 months ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆56Updated 2 years ago
• Santara / stochastic_value_gradient
  Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]
  ☆26Updated 3 years ago
• SiyuanQi-zz / intentMARL
  Code for ICRA2018 - Intent-aware Multi-agent Reinforcement Learning.
  ☆21Updated 7 years ago
• martinseilair / learningoptimalcontrol
  Great resources for learning optimal control
  ☆17Updated 5 years ago