hbonnavaud / sciborg

Related projects ⓘ

Alternatives and complementary repositories for sciborg

• observer4599 / explainable-reinforcement-learning
  Explainable Reinforcement Learning (XRL) Resources
  ☆33Updated last month
• mazpie / mastering-urlb
  [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …
  ☆33Updated 8 months ago
• alirezakazemipour / DDPG-HER
  Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.
  ☆89Updated last year
• ffelten / CrazyRL
  JAX and PZ RL envs + algorithms for swarms of CrazyFlies
  ☆63Updated 2 months ago
• FLAIROx / jaxirl
  Contains JAX implementation of algorithms for inverse reinforcement learning
  ☆63Updated 3 months ago
• lucidrains / phasic-policy-gradient
  An implementation of Phasic Policy Gradient, a proposed improvement of Proximal Policy Gradients, in Pytorch
  ☆46Updated this week
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆49Updated 2 years ago
• ethanluoyc / corax
  Corax: Core RL in JAX
  ☆35Updated 9 months ago
• Michael-Beukman / RobocupGym
  Reinforcement Learning inside a 3D soccer simulation
  ☆24Updated 2 months ago
• sdpkjc / abcdrl
  Modular Single-file Reinfocement Learning Algorithms Library
  ☆37Updated last year
• keraJLi / synthetic-gymnax
  ☆17Updated 5 months ago
• SuReLI / RRLS
  Robust Reinforcement Learning Suite
  ☆19Updated 5 months ago
• perrin-isir / xpag
  a modular reinforcement learning library with JAX agents
  ☆22Updated last year
• alirezakazemipour / Continuous-PPO
  Proximal Policy Optimization (Continuous Version) in PyTorch.
  ☆26Updated 3 years ago
• Farama-Foundation / momaland
  Benchmarks for Multi-Objective Multi-Agent Decision Making
  ☆72Updated 3 weeks ago
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆60Updated last year
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆39Updated 2 years ago
• google-deepmind / zipfian_environments
  ☆28Updated 2 years ago
• DramaCow / jaxued
  ☆63Updated 3 months ago
• btnorman / First-Explore
  Repo to reproduce the First-Explore paper results
  ☆36Updated 2 weeks ago
• SonyResearch / simba
  ☆55Updated last month
• vwxyzjn / a2c_is_a_special_case_of_ppo
  A2C is a special case of PPO!
  ☆19Updated 2 years ago
• google-research / reincarnating_rl
  [NeurIPS 2022] Open source code for reusing prior computational work in RL.
  ☆91Updated last year
• araffin / rlss23-dqn-tutorial
  Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023
  ☆51Updated 2 weeks ago
• albertwilcox / mcac
  Author implementation of Monte Carlo Augmented Actor Critic in PyTorch
  ☆17Updated 2 years ago
• HumanCompatibleAI / learning-from-human-preferences
  Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"
  ☆23Updated 3 years ago
• Howuhh / sac-n-jax
  Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch
  ☆46Updated last year
• SamsungLabs / tqc_pytorch
  Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/
  ☆90Updated 3 years ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆20Updated 6 months ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆52Updated 7 months ago