Alternatives and similar repositories for Upside-Down-Reinforcement-Learning

Users that are interested in Upside-Down-Reinforcement-Learning are comparing it to the libraries listed below

• lili-chen / SEER
  Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.
  ☆21Updated 4 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 11 months ago
• TrentBrick / RewardConditionedUDRL
  Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies
  ☆18Updated 4 years ago
• notmahi / disk
  PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Increment…
  ☆19Updated 3 years ago
• ThomasMiconi / Meta-Task-Generator
  Automatically generate simple meta-learning tasks from a very large space
  ☆15Updated last year
• tianjunz / MADE
  ☆19Updated 3 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆28Updated 2 years ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆56Updated 2 years ago
• zdhNarsil / Stochastic-Marginal-Actor-Critic
  Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".
  ☆24Updated 2 years ago
• ruizhaogit / music
  Mutual Information State Intrinsic Control (ICLR 2021 Spotlight)
  ☆37Updated 4 years ago
• KyunghyunLee / aes-rl
  ☆17Updated 4 years ago
• two2tee / WorldModelPlanning
  ☆16Updated 4 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 4 years ago
• Yusufma03 / CVRL
  code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"
  ☆24Updated 3 years ago
• icaros-usc / dqd-rl
  Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
  ☆20Updated 2 years ago
• avisingh599 / cog
  [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
  ☆33Updated 4 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated last year
• danijar / npgame
  Write simple games in Numpy!
  ☆12Updated 2 years ago
• siddharthverma314 / clcp-neurips-2020
  Code for Continual Learning of Control Primitives
  ☆18Updated 4 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• quasimetric-learning / torch-quasimetric
  PyTorch Package For Quasimetric Learning
  ☆42Updated 7 months ago
• facebookresearch / ssorl
  Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
  ☆42Updated last year
• uber-research / Evolvability-ES
  ☆14Updated 6 years ago
• rll-research / teachable
  ☆17Updated last year
• kaustubhsridhar / Constrained_Models
  Official Code for the L4DC 2023 conference paper and ICLR 2023 NeSy-GeMs workshop paper.
  ☆12Updated last year
• ben-eysenbach / mnm
  Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"
  ☆20Updated 3 years ago
• changchencc / PlanDQ
  PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer
  ☆10Updated last year
• si0wang / COPlanner
  ☆22Updated last year