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Search results for offline reinforcement learning

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31 search results found

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

Kanachan ⭐ 239

A Japanese (Riichi) Mahjong AI Framework

Offlinerl Kit ⭐ 165

An elegant PyTorch offline reinforcement learning library for researchers.

Offlinerl ⭐ 124

A collection of offline reinforcement learning algorithms. This is a mirror repo from https://agit.ai/Polixir/OfflineRL

PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

This is a mirror of https://agit.ai/Polixir/NeoRL.git

Latentplan ⭐ 60

Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.

Datasets with baselines for offline multi-agent reinforcement learning 🤖

Min Decision Transformer ⭐ 47

Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym

Focal Iclr ⭐ 46

Code for FOCAL Paper Published at ICLR 2021

Author's implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"

Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)

Sac N Jax ⭐ 36

Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch

Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC

Loopquest ⭐ 26

A Production Tool for Embodied AI

Rewardshifting ⭐ 20

Code for paper Exploiting Reward Shifting in Value-Based Deep RL

The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)

[ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"

Author's implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"

Code for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023

Offlinerl ⭐ 15

Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning

Stochastic Muzero ⭐ 14

Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.

The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization" (NeurIPS 2023)

Official implementation for "Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size", NeurIPS 2022, Offline RL Workshop

Iql Pytorch ⭐ 9

Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL

Papers Of Offline Rl ⭐ 8

Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)

Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"

Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)

Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.

Related Searches

Python Offline Reinforcement Learning (21)

Pytorch Offline Reinforcement Learning (8)

Jupyter Notebook Offline Reinforcement Learning (5)

Jax Offline Reinforcement Learning (3)

1-31 of 31 search results

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