Alternatives and similar repositories for mxt_bench

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

• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆20Updated 4 years ago
• Rondorf / BOReL
  Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 20…
  ☆31Updated 4 years ago
• mlpc-ucsd / XTRA
  On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
  ☆16Updated 2 years ago
• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆27Updated 4 years ago
• camall3n / markov-state-abstractions
  Image-based gridworld experiment for learning Markov state abstractions
  ☆21Updated last year
• frt03 / generalized_dt
  Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)
  ☆70Updated 3 years ago
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆26Updated 4 years ago
• hychen-naza / LEAP
  ☆17Updated 2 years ago
• ElisevanderPol / mdp-homomorphic-networks
  ☆30Updated 4 years ago
• namsan96 / SiMPL
  ☆48Updated 2 years ago
• mila-iqia / SGI
  Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)
  ☆55Updated 4 years ago
• SAIC-MONTREAL / hyperzero
  Code for AAAI 2023 paper "Hypernetworks for Zero-shot Transfer in Reinforcement Learning"
  ☆20Updated 2 years ago
• ml-jku / OfflineRL
  ☆31Updated 3 years ago
• eric-mitchell / macaw-min
  Clean, extensible implementation of MACAW [ICML 2021]
  ☆12Updated 4 years ago
• rmrafailov / LOMPO
  Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models
  ☆31Updated 4 years ago
• google-deepmind / active_ops
  ☆33Updated last year
• sparisi / cbet
  Change-Based Exploration Transfer
  ☆35Updated 3 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆82Updated 2 years ago
• fdeng18 / dreamer-pro
  ☆36Updated 3 years ago
• clvrai / new-actions-rl
  ☆24Updated last year
• proceduralia / high_replay_ratio_continuous_control
  Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
  ☆27Updated 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)
  ☆68Updated 4 years ago
• yudasong / HyQ
  Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.
  ☆25Updated 2 years ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆41Updated 4 years ago
• younggyoseo / trajectory_mcl
  Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)
  ☆39Updated 5 years ago
• holarissun / RewardShifting
  Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
  ☆30Updated 2 years ago
• frt03 / jax_dt
  Minimal Decision Transformer Implementation written in Jax (Flax).
  ☆17Updated 3 years ago
• rraileanu / idaac
  ☆54Updated last year
• jdchang1 / milo
  ☆16Updated 4 years ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆24Updated last year