apexrl / GCRL-Collection
This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmark environments and conclude a series of research works for goal-conditioned reinforcement learning (GCRL).
☆117Updated last year
Alternatives and similar repositories for GCRL-Collection:
Users that are interested in GCRL-Collection are comparing it to the libraries listed below
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆65Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆127Updated last year
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆38Updated last year
- A PyTorch implementation of Implicit Q-Learning☆71Updated 3 years ago
- Skill-based Model-based Reinforcement Learning (CoRL 2022)☆55Updated 2 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆118Updated 3 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆67Updated 7 months ago
- ☆53Updated 3 years ago
- ☆69Updated 2 years ago
- ☆89Updated last year
- CORRO code☆35Updated 2 years ago
- Simple maze environments using mujoco-py☆54Updated last year
- 🔥 Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.☆21Updated this week
- Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21☆23Updated 3 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆55Updated 8 months ago
- behavior cloning from observation☆35Updated 4 years ago
- ☆55Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆87Updated 5 months ago
- Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.☆56Updated 3 years ago
- Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch☆33Updated 4 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆64Updated last year
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021☆31Updated 2 years ago
- ☆26Updated last year
- Pytorch version of Dreamer, which follows the original TF v2 codes.☆121Updated 3 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆98Updated 8 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆76Updated 2 months ago
- ☆47Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆162Updated 2 years ago
- Conservative Q Learning on top of SAC☆123Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆51Updated last year