Alternatives and similar repositories for ampo

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

• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated 2 years ago
• psclklnk / spdl
  Source code for the Self-Paced Deep Reinforcement Learning Experiments
  ☆32Updated 2 years ago
• ermongroup / MetaIRL
  Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
  ☆75Updated 2 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• apexrl / bmpo
  Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>
  ☆23Updated 2 years ago
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆30Updated 6 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆32Updated 4 years ago
• rraileanu / idaac
  ☆54Updated last year
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆26Updated 4 years ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 4 years ago
• bhairavmehta95 / data-efficient-hrl
  Implementation of Data Efficient Reinforcement Learning in Pytorch
  ☆20Updated 6 years ago
• younggyoseo / CaDM
  CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
  ☆63Updated 5 years ago
• kristery / Imitation-Learning-from-Imperfect-Demonstration
  [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"
  ☆48Updated 6 years ago
• illidanlab / opolo-code
  ☆32Updated 4 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 6 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• henrycharlesworth / PlanGAN
  ☆17Updated 3 years ago
• tgangwani / BMIL
  Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)
  ☆21Updated 3 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆32Updated 5 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆41Updated 3 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 4 months ago
• matsuolab / BREMEN
  Codebase of Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization (ICLR2021)
  ☆53Updated 4 years ago
• ben-eysenbach / mnm
  Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"
  ☆20Updated 4 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆24Updated 6 years ago
• apexrl / COIL
  Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"
  ☆18Updated 3 years ago
• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆20Updated 4 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• tgangwani / RL-Indirect-imitation
  Pytorch code for "State-only Imitation with Transition Dynamics Mismatch" (ICLR 2020)
  ☆20Updated 5 years ago
• thanard / me-trpo
  ☆92Updated last year
• DesikRengarajan / LOGO
  [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
  ☆28Updated 3 years ago