Alternatives and similar repositories for Imagine:

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

• flowersteam / playground_env
  Implementation of the Playground environment from the paper Language as a Cognitive Tool to Imagine Goals inCuriosity-Driven Exploration.
  ☆10Updated 3 years ago
• google-deepmind / dm_fast_mapping
  ☆54Updated 3 years ago
• chamorajg / pl-dreamer
  Simplistic Pytorch Implementation of the Dreamer-RL
  ☆20Updated 2 years ago
• yusukeurakami / plan2explore-pytorch
  ☆42Updated 3 years ago
• astanic / crafter-ood
  ☆20Updated 2 years ago
• microsoft / segar
  Sandbox environment for generalizable agent research
  ☆24Updated 2 years ago
• pokaxpoka / rad_procgen
  RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)
  ☆18Updated 3 years ago
• sparisi / cbet
  Change-Based Exploration Transfer
  ☆36Updated 2 years ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆53Updated 2 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• kkhetarpal / ioc
  Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
  ☆25Updated 4 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 4 years ago
• ahmed-touati / controllable_agent
  ☆41Updated last year
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆61Updated last year
• amazon-science / replay-based-recurrent-rl
  Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"
  ☆32Updated last year
• flowersteam / curious
  Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
  ☆27Updated 4 years ago
• bstadie / krazyworld
  krazy grid world
  ☆25Updated 4 years ago
• WendyShang / flare
  Reinforcement Learning with Latent Flow
  ☆43Updated 3 years ago
• jaekyeom / IBOL
  ☆28Updated 2 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆85Updated 3 years ago
• alec-tschantz / planet
  PlaNet: Learning Latent Dynamics for Planning from Pixels
  ☆10Updated 4 years ago
• machelreid / can-wikipedia-help-offline-rl
  Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu
  ☆103Updated 2 years ago
• akakzia / decstr
  ☆15Updated 3 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 4 years ago
• Kaixhin / EC
  Episodic Control
  ☆19Updated 2 years ago
• htdt / lwm
  Latent World Models For Intrinsically Motivated Exploration | Official repository
  ☆22Updated 3 years ago
• orybkin / lexa
  Discovering and Achieving Goals via World Models, NeurIPS 2021
  ☆85Updated last year
• Stanford-ILIAD / ELLA
  Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.
  ☆19Updated 3 years ago
• Pervasive-AI-Lab / crlmaze
  Continual Reinforcement Learning in 3D Non-stationary Environments
  ☆36Updated 5 years ago
• LunjunZhang / world-model-as-a-graph
  Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)
  ☆66Updated 3 years ago