Alternatives and similar repositories for noisy-networks

Users that are interested in noisy-networks are comparing it to the libraries listed below

• instadeepai / outer-value-function-meta-rl
  Code of the paper: Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
  ☆13Updated 2 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
• Reytuag / transformerXL_PPO_JAX
  ☆80Updated 7 months ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆56Updated 2 years ago
• younggyoseo / RE3
  RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
  ☆68Updated 3 years ago
• aa14k / Exploration-in-RL
  ☆28Updated last year
• Hwhitetooth / jax_muzero
  An implementation of MuZero in JAX.
  ☆56Updated 2 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• Kaixhin / EC
  Episodic Control
  ☆20Updated 2 years ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆56Updated 2 years ago
• SamsungLabs / tqc
  Implementation of Truncated Quantile Critics method for continuous reinforcement learning.
  ☆25Updated 2 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆86Updated 3 years ago
• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆48Updated 11 months ago
• BY571 / Munchausen-RL
  PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
  ☆46Updated 4 years ago
• oxwhirl / opiq
  Code for Optimistic Exploration even with a Pessimistic Initialisation
  ☆14Updated 4 years ago
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆142Updated last year
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆21Updated 4 years ago
• keraJLi / synthetic-gymnax
  Drop-in environment replacements that make your RL algorithm train faster.
  ☆20Updated 11 months ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆98Updated 2 years ago
• google-deepmind / csuite
  ☆44Updated 8 months ago
• hr0nix / dejax
  Accelerated replay buffers in JAX
  ☆41Updated 2 years ago
• tinker495 / jax-baseline
  Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…
  ☆53Updated 3 weeks ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 3 years ago
• EmptyJackson / groove
  Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Des…
  ☆28Updated 11 months ago
• ahmed-touati / controllable_agent
  ☆45Updated 2 years ago
• MarcoMeter / neroRL
  Deep Reinforcement Learning Framework done with PyTorch
  ☆36Updated 2 months ago
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆47Updated 4 years ago
• hamishs / JAX-RL
  JAX implementations of various deep reinforcement learning algorithms.
  ☆22Updated 4 months ago
• Div99 / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆88Updated 2 years ago
• thanhnguyentang / mmdrl
  Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354
  ☆25Updated 3 years ago