Alternatives and similar repositories for value_expansion

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

• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆56Updated last year
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆74Updated last year
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆54Updated 2 years ago
• ikostrikov / jaxrl2
  ☆47Updated 2 years ago
• martius-lab / pink-noise-rl
  ☆43Updated 2 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆82Updated last year
• Wenxuan-Zhou / PLAS
  Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
  ☆53Updated 3 years ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆101Updated last year
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated 2 years ago
• OffDynamicsRL / off-dynamics-rl
  ☆47Updated 6 months ago
• cross32768 / PlaNet_PyTorch
  Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch
  ☆47Updated 5 years ago
• ahmed-touati / controllable_agent
  ☆45Updated 2 years ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆71Updated 11 months ago
• MichalBortkiewicz / JaxGCRL
  Goal-Conditioned Reinforcement Learning with JAX
  ☆162Updated 3 weeks ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆26Updated last year
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆19Updated last year
• jxu43 / replication-mbpo
  NeurIPS Reproducibility Challenge 2019
  ☆20Updated 5 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆115Updated 3 years ago
• abaisero / gym-pomdps
  ☆10Updated 2 years ago
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆84Updated 6 months ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆55Updated last year
• ikostrikov / dmcgym
  ☆23Updated 2 years ago
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆100Updated 3 years ago
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆145Updated 5 months ago
• facebookresearch / hsd3
  Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines
  ☆50Updated 3 years ago
• elliotchanesane31 / RIS
  ☆53Updated 3 years ago
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆33Updated 2 years ago
• proceduralia / high_replay_ratio_continuous_control
  Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
  ☆24Updated 2 years ago
• sebascuri / hucrl
  ☆30Updated last year