Alternatives and similar repositories for popjaxrl

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

• DramaCow / jaxued
  ☆83Updated last week
• FLAIROx / jaxirl
  Contains JAX implementation of algorithms for inverse reinforcement learning
  ☆72Updated last year
• facebookresearch / MRQ
  MR.Q is a general-purpose model-free reinforcement learning algorithm.
  ☆111Updated 2 months ago
• Reytuag / transformerXL_PPO_JAX
  ☆83Updated 10 months ago
• mklissa / dceo
  Learning diverse options through the Laplacian representation.
  ☆23Updated last year
• Div99 / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆58Updated last year
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆103Updated 10 months ago
• EmptyJackson / unifloral
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆94Updated 4 months ago
• dojeon-ai / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆65Updated 3 months ago
• ahmed-touati / controllable_agent
  ☆48Updated 2 years ago
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆182Updated 6 months ago
• danijar / ninjax
  General Modules for JAX
  ☆67Updated last week
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆148Updated 2 years ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆94Updated last year
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆114Updated last year
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆81Updated 2 years ago
• adityabingi / Dreamer
  Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite
  ☆43Updated 2 years ago
• AlexGoldie / rl-learned-optimization
  Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"
  ☆28Updated 4 months ago
• hr0nix / dejax
  Accelerated replay buffers in JAX
  ☆43Updated 3 years ago
• tinker495 / jax-baseline
  Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…
  ☆56Updated this week
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆154Updated 8 months ago
• epignatelli / navix
  Accelerated minigrid environments with JAX
  ☆147Updated 2 weeks ago
• brownirl / lambda_discrepancy
  Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
  ☆20Updated 10 months ago
• FLAIROx / popjym
  POPGym Library in JAX
  ☆11Updated last year
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated last year
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆71Updated 2 years ago
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆47Updated 4 months ago
• keraJLi / synthetic-gymnax
  Drop-in environment replacements that make your RL algorithm train faster.
  ☆21Updated last year
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆65Updated last year