Alternatives and similar repositories for effective-horizon

Users that are interested in effective-horizon are comparing it to the libraries listed below

• ahmed-touati / controllable_agent
  ☆46Updated 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
• ikostrikov / jaxrl2
  ☆47Updated 2 years ago
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆54Updated 2 years ago
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆143Updated 2 years ago
• JesseFarebro / distributional-sr
  Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".
  ☆21Updated 7 months ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• stratisMarkou / sample-efficient-bayesian-rl
  Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL
  ☆25Updated 3 years ago
• yifan12wu / rl-laplacian
  Learning Laplacian Representations in Reinforcement Learning
  ☆16Updated 4 years ago
• proceduralia / high_replay_ratio_continuous_control
  Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
  ☆25Updated 2 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆55Updated last year
• ethanluoyc / corax
  Corax: Core RL in JAX
  ☆38Updated last year
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆19Updated last year
• ml-jku / OfflineRL
  ☆31Updated 2 years 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
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆47Updated 4 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 4 years ago
• mklissa / dceo
  Learning diverse options through the Laplacian representation.
  ☆23Updated last year
• brownirl / lambda_discrepancy
  Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
  ☆18Updated 7 months ago
• luchris429 / model-free-opponent-shaping
  Code for Model-Free Opponent Shaping (ICML 2022)
  ☆18Updated 2 years ago
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated 2 years ago
• danijar / ninjax
  General Modules for JAX
  ☆65Updated 2 months ago
• martius-lab / pink-noise-rl
  ☆42Updated 2 years ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated last year
• Howuhh / sac-n-jax
  Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch
  ☆51Updated 2 years ago
• MichaelTMatthews / Craftax_Baselines
  ☆19Updated last month
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆157Updated last week
• Egiob / DiversityIsAllYouNeed-SB3
  Implementation of Diversity Is All You Need (DIAYN) on top of Stable Baselines 3.
  ☆12Updated 2 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆98Updated 2 years ago
• FLAIROx / jaxirl
  Contains JAX implementation of algorithms for inverse reinforcement learning
  ☆73Updated 10 months ago