Alternatives and similar repositories for rad_openaigym

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

• junsu-kim97 / PIG
  PyTorch code accompanying the paper "Imitating Graph-Based Planning with Goal-Conditioned Policies" (ICLR 2023).
  ☆19Updated 2 years ago
• younggyoseo / trajectory_mcl
  Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)
  ☆39Updated 4 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated 2 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
• rll-research / teachable
  ☆17Updated last year
• kingdy2002 / VCSE
  ☆18Updated 2 years ago
• suyoung-lee / LDM
  Latent Dynamics Mixture, NeurIPS 2021
  ☆17Updated 2 years ago
• kouroshHakha / fist
  ☆11Updated 2 years ago
• csmile-1006 / ARP
  Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)
  ☆33Updated last year
• frt03 / jax_dt
  Minimal Decision Transformer Implementation written in Jax (Flax).
  ☆17Updated 2 years ago
• Mehooz / BIRD_code
  Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".
  ☆14Updated 4 years ago
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆26Updated 2 years ago
• avisingh599 / cog
  [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
  ☆33Updated 4 years ago
• Yusufma03 / CVRL
  code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"
  ☆24Updated 3 years ago
• s-tian / mbold
  Model-Based Visual Planning with Self-Supervised Functional Distances (ICLR 2021)
  ☆20Updated 3 years ago
• kaixin96 / mixreg
  Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization
  ☆33Updated 4 years ago
• SAIC-MONTREAL / hyperzero
  Code for AAAI 2023 paper "Hypernetworks for Zero-shot Transfer in Reinforcement Learning"
  ☆20Updated 2 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
• alinlab / oreo
  ☆23Updated 3 years ago
• holarissun / RewardShifting
  Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
  ☆30Updated last year
• ruizhaogit / music
  Mutual Information State Intrinsic Control (ICLR 2021 Spotlight)
  ☆37Updated 4 years ago
• zhxieml / PDT
  Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer
  ☆28Updated last year
• rll-research / finetune-vs-metarl
  ☆14Updated 3 years ago
• nicklashansen / svea-vit
  Code for the paper "Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation"
  ☆19Updated 2 years ago
• MaxSobolMark / OOO
  Official repo for Offline RL for Online RL
  ☆17Updated last year
• hychen-naza / LEAP
  ☆17Updated last year
• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆20Updated 3 years ago
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆30Updated 3 years ago
• clvrai / idapt
  Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding (RSS 2021)
  ☆12Updated 3 years ago
• JasonMa2016 / SMODICE
  Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…
  ☆26Updated 2 years ago