Alternatives and similar repositories for InteractionNetwork-pytorch

Users that are interested in InteractionNetwork-pytorch are comparing it to the libraries listed below

• wyndwarrior / Sectar
  Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
  ☆96Updated 7 years ago
• tegg89 / magnet
  MAGNet: Multi-agents control using Graph Neural Networks
  ☆132Updated 6 years ago
• FerranAlet / modular-metalearning
  ☆78Updated 4 years ago
• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆50Updated 6 years ago
• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆59Updated last year
• higgsfield / interaction_network_pytorch
  Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics
  ☆133Updated 7 years ago
• veronicachelu / meta-learning
  Meta Reinforcement Learning Experiments
  ☆34Updated 8 years ago
• tkipf / nri
  Neural relational inference for interacting systems - pytorch
  ☆17Updated 6 years ago
• ZhengyaoJiang / NLRL
  Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)
  ☆77Updated 5 years ago
• zsdonghao / Imitation-Learning-Dagger-Torcs
  A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
  ☆70Updated 8 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 years ago
• illidanlab / cdrl
  Collaborative Deep Reinforcement Learning
  ☆31Updated 8 years ago
• ekwebb / fNRI
  Factoried Neural Relational Inference for Multi-Interacting Systems
  ☆30Updated 6 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• LinZichuan / AdMRL
  Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
  ☆35Updated 4 years ago
• krasheninnikov / max-causal-ent-irl
  Maximum Causal Entropy Inverse Reinforcement Learning
  ☆48Updated 6 years ago
• AnujMahajanOxf / VIREL
  Code for VIREL: A Variational Inference Framework for Reinforcement Learning
  ☆14Updated 5 years ago
• louaaron / GAN-Q-Learning
  Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
  ☆47Updated 4 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 7 years ago
• illidanlab / rpg
  Ranking Policy Gradient
  ☆23Updated 5 years ago
• cjm715 / mgym
  A collection of multi-agent reinforcement learning OpenAI gym environments
  ☆46Updated 5 years ago
• debmandal / RL-Causality
  References at the Intersection of Causality and Reinforcement Learning
  ☆89Updated 5 years ago
• seungjaeryanlee / rl-exploration
  Reinforcement Learning papers on exploration methods.
  ☆19Updated 4 years ago
• fedingo / Hierarchical-DQN
  Simple implementation of the model presented in Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic …
  ☆18Updated 6 years ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆27Updated 6 years ago
• cle-ros / RoutingNetworks
  ☆68Updated 5 years ago
• tkipf / compile
  CompILE: Compositional Imitation Learning and Execution (ICML 2019)
  ☆112Updated 6 years ago
• floodsung / meta-critic-networks
  Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning
  ☆57Updated 7 years ago
• Feryal / automated-curriculum-rl
  ☆31Updated 7 years ago
• sadeqa / Super-Mario-Bros-RL
  This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…
  ☆80Updated 6 years ago