Alternatives and similar repositories for rewards

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

• Stanford-ILIAD / ELLA
  Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.
  ☆21Updated 4 years ago
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆45Updated 2 years ago
• ahjwang / messenger-emma
  Implements the Messenger environment and EMMA model.
  ☆25Updated 2 years ago
• orybkin / lexa
  Discovering and Achieving Goals via World Models, NeurIPS 2021
  ☆86Updated last year
• google-deepmind / pushworld
  PushWorld: A benchmark for manipulation planning with tools and movable obstacles
  ☆88Updated last week
• machelreid / can-wikipedia-help-offline-rl
  Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu
  ☆106Updated 3 years ago
• ademiadeniji / irm
  Intrinsic Reward Matching (IRM) implementation (from Adeniji and Xie et al 2022)
  ☆42Updated last year
• eilab-gt / NovGrid
  Novelty MiniGrid--NovGrid--is an extension of MiniGrid environment that allows for the world properties and dynamics to change according …
  ☆35Updated last year
• danijar / crafter-baselines
  Docker containers of baseline agents for the Crafter environment
  ☆30Updated 4 years ago
• denisyarats / proto
  Proto-RL: Reinforcement Learning with Prototypical Representations
  ☆85Updated 3 years ago
• mila-iqia / SGI
  Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)
  ☆55Updated 4 years ago
• facebookresearch / CausalSkillLearning
  Codebase for project about unsupervised skill learning via variational inference and causality.
  ☆43Updated 2 years ago
• microsoft / segar
  Sandbox environment for generalizable agent research
  ☆25Updated 3 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 3 years ago
• htdt / lwm
  Latent World Models For Intrinsically Motivated Exploration | Official repository
  ☆22Updated 4 years ago
• ahmed-touati / controllable_agent
  ☆52Updated 2 years ago
• danijar / embodied
  Fast reinforcement learning research
  ☆61Updated last year
• rll-research / cic
  CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
  ☆82Updated 3 years ago
• WendyShang / flare
  Reinforcement Learning with Latent Flow
  ☆44Updated 4 years ago
• ucl-dark / paired
  PAIRED in PyTorch 🔥
  ☆63Updated 2 years ago
• tonyzhaozh / meld
  MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957
  ☆67Updated 4 years ago
• orybkin / lexa-benchmark
  ☆42Updated 3 years ago
• robbycostales / HAL
  Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" (ICLR 2022)
  ☆14Updated 3 years ago
• tseyde / decqn
  ☆35Updated 2 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆34Updated 2 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• ruizhaogit / music
  Mutual Information State Intrinsic Control (ICLR 2021 Spotlight)
  ☆38Updated 4 years ago
• google-deepmind / dm_fast_mapping
  ☆54Updated 4 years ago
• ml-jku / helm
  ☆57Updated last year
• clvrai / create
  CREATE Environment for long-horizon physics-puzzle tasks with diverse tools
  ☆18Updated 3 years ago