Pytorch implementation of BEAR in "Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction"
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Updated
Oct 29, 2019 - Python
Pytorch implementation of BEAR in "Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction"
Implementation of CQL in "Conservative Q-Learning for Offline Reinforcement Learning" based on BRAC family.
Implementation of Fisher_BRC in "Offline Reinforcement Learning with Fisher Divergence Critic Regularization" based on BRAC family.
Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.
Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)
Implementation of Offline Reinforcement Learning in Gym Mini-Grid Environment 🔑
Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym
[AAAI 2022] The official implementation of "DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning"
Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
The easiest way to copy your flight log files and videos from racing drones and goggles DVR.
Code for Sequential Evaluation of Offline RL paper
Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
[ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]
Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning
[AAAI 2022] The official implementation of CPQ in "Constraints Penalized Q-learning for Safe Offline Reinforcement Learning"
Official implementation for "Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows", NeurIPS 2022, Offline RL Workshop
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