Alternatives and similar repositories for Achievement-Distillation

Users that are interested in Achievement-Distillation are comparing it to the libraries listed below

• snu-mllab / DPPO
  Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)
  ☆42Updated 10 months ago
• csmile-1006 / ARP
  Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)
  ☆33Updated last year
• younggyoseo / CaDM
  CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
  ☆63Updated 5 years ago
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated 9 months ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆58Updated 8 months ago
• younggyoseo / RE3
  RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
  ☆68Updated 3 years ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆57Updated last year
• younggyoseo / trajectory_mcl
  Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)
  ☆39Updated 4 years ago
• eric-mitchell / macaw-min
  Clean, extensible implementation of MACAW [ICML 2021]
  ☆13Updated 3 years ago
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆69Updated last year
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆111Updated 2 years ago
• namsan96 / SiMPL
  ☆48Updated last year
• seohongpark / PMA
  Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)
  ☆32Updated 2 years ago
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆84Updated 6 months ago
• jaekyeom / IBOL
  ☆30Updated 3 years ago
• micahcarroll / uniMASK
  Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"
  ☆55Updated 11 months ago
• qgallouedec / lge
  ☆31Updated last year
• 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
• RajGhugare19 / stitching-is-combinatorial-generalisation
  [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  ☆23Updated last year
• kingdy2002 / VCSE
  ☆18Updated last year
• FangchenLiu / MaskDP_public
  Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022
  ☆44Updated last year
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆46Updated 2 weeks ago
• XanderJC / attention-based-credit
  Code for the paper: Dense Reward for Free in Reinforcement Learning from Human Feedback (ICML 2024) by Alex J. Chan, Hao Sun, Samuel Holt…
  ☆30Updated 9 months ago
• google-deepmind / active_ops
  ☆32Updated 10 months ago
• nicklashansen / svea-vit
  Code for the paper "Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation"
  ☆19Updated last year
• machelreid / can-wikipedia-help-offline-rl
  Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu
  ☆105Updated 2 years ago
• mklissa / dceo
  Learning diverse options through the Laplacian representation.
  ☆23Updated last year
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆115Updated 3 years ago
• amazon-science / replay-based-recurrent-rl
  Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"
  ☆33Updated last year
• apple / ml-uwac
  ☆35Updated 3 years ago