TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-LearningLinks
Source files to replicate experiments in my ICLR 2022 paper.
☆70Updated 3 months ago
Alternatives and similar repositories for Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
Users that are interested in Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆91Updated 11 months ago
- ☆56Updated 4 years ago
- Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…☆51Updated 2 years ago
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 2 years ago
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆78Updated last year
- Advantage weighted Actor Critic for Offline RL☆50Updated 3 years ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆80Updated last year
- ☆45Updated 2 years ago
- ☆24Updated 3 years ago
- Official implementation of NeurIPS'23 paper, Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets☆26Updated last year
- Skill-based Model-based Reinforcement Learning (CoRL 2022)☆62Updated 3 years ago
- Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)☆36Updated 2 years ago
- Official repo for Offline RL for Online RL☆18Updated 2 years ago
- ☆24Updated last year
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆23Updated last year
- Simple maze environments using mujoco-py☆56Updated last year
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- Benchmark data (i.e., DeepMind Control Suite and MuJoCo) for RL.☆32Updated 4 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆117Updated 3 years ago
- Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation☆75Updated 2 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆111Updated last year
- Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization☆27Updated 2 years ago
- ☆55Updated last week
- Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines☆49Updated 3 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)☆112Updated last year
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆53Updated 4 years ago
- Official release of CompoSuite, a compositional RL benchmark☆50Updated last year
- Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3☆35Updated last year
- [ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.☆73Updated 3 months ago