Alternatives and similar repositories for eop:

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

• tinkoff-ai / lb-sac
  Official implementation for "Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size", NeurIPS 2022, Offline RL Worksho…
  ☆21Updated 2 years ago
• corl-team / katakomba
  Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)
  ☆39Updated last year
• tinkoff-ai / katakomba
  Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)
  ☆71Updated last year
• Howuhh / sac-n-jax
  Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch
  ☆48Updated last year
• tinkoff-ai / ReBRAC
  Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC
  ☆55Updated last year
• hr0nix / dejax
  Accelerated replay buffers in JAX
  ☆41Updated 2 years ago
• corl-team / ad-eps
  Official Implementation for "In-Context Reinforcement Learning from Noise Distillation"
  ☆29Updated 5 months ago
• tinkoff-ai / sac-rnd
  Official implementation for "Anti-Exploration by Random Network Distillation", ICML 2023
  ☆52Updated 2 years ago
• tinkoff-ai / cnf
  Official implementation for "Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows", NeurIPS 2022, O…
  ☆12Updated 2 years ago
• zzmtsvv / ORL
  ☆54Updated last month
• dunnolab / xland-minigrid-datasets
  XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - —
  ☆65Updated 3 weeks ago
• brownirl / lambda_discrepancy
  Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
  ☆17Updated 4 months ago
• clvrai / create
  CREATE Environment for long-horizon physics-puzzle tasks with diverse tools
  ☆18Updated 2 years ago
• proceduralia / high_replay_ratio_continuous_control
  Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
  ☆22Updated last year
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆84Updated 3 years ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated last year
• Miffyli / nle-sample-factory-baseline
  ☆22Updated 3 years ago
• apple / ml-uwac
  ☆36Updated 3 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆74Updated 3 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆110Updated 3 years ago
• google-deepmind / active_ops
  ☆32Updated 7 months ago
• MichaelTMatthews / Craftax_Baselines
  ☆18Updated last month
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆100Updated 2 years ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆55Updated 2 years ago
• google-research / deep_ope
  ☆85Updated 7 months ago
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆66Updated last year
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆79Updated 2 years ago
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆53Updated 2 years ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆53Updated 2 years ago