Alternatives and similar repositories for discrete-representations-for-continual-rl

Users that are interested in discrete-representations-for-continual-rl are comparing it to the libraries listed below

• DramaCow / jaxued
  ☆79Updated 2 months ago
• dojeon-ai / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆46Updated last month
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆82Updated last year
• MichaelTMatthews / Craftax_Baselines
  ☆19Updated 3 weeks ago
• qgallouedec / lge
  ☆31Updated last year
• FLAIROx / jaxirl
  Contains JAX implementation of algorithms for inverse reinforcement learning
  ☆73Updated 9 months ago
• danijar / ninjax
  General Modules for JAX
  ☆66Updated last month
• ethanluoyc / corax
  Corax: Core RL in JAX
  ☆38Updated last year
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆57Updated last year
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆99Updated 7 months ago
• luchris429 / discovered-policy-optimisation
  Code for Discovered Policy Optimisation (NeurIPS 2022)
  ☆10Updated last year
• AlexGoldie / rl-learned-optimization
  Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"
  ☆22Updated last month
• adaptive-intelligent-robotics / QDAC
  Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" …
  ☆16Updated 11 months ago
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆167Updated 2 months ago
• kvfrans / rlbase_stable
  ☆41Updated 10 months ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆115Updated 3 years ago
• luchris429 / popjaxrl
  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
  ☆101Updated last year
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆102Updated 2 years ago
• keraJLi / synthetic-gymnax
  Drop-in environment replacements that make your RL algorithm train faster.
  ☆20Updated 11 months ago
• sai-prasanna / dreaming_of_many_worlds
  ☆22Updated 8 months ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆101Updated last year
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆66Updated 2 years ago
• SonyResearch / simba
  ☆92Updated 3 months ago
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆92Updated last year
• gauthamvasan / avg
  Action Value Gradient Algorithm
  ☆20Updated 2 weeks ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆88Updated last year
• RyanNavillus / Syllabus
  Synchronized Curriculum Learning for RL Agents
  ☆45Updated 2 months ago
• Reytuag / transformerXL_PPO_JAX
  ☆80Updated 7 months ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆156Updated 2 months ago
• EmptyJackson / unifloral
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆80Updated last month