liuzuxin / Bullet-Safety-GymLinks
An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
☆13Updated 2 years ago
Alternatives and similar repositories for Bullet-Safety-Gym
Users that are interested in Bullet-Safety-Gym are comparing it to the libraries listed below
Sorting:
- This is the source code of FUSION, a safety-aware causal representation for generalizable driving agents.☆23Updated last year
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆23Updated last year
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆68Updated last year
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- ☆18Updated last year
- This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…☆35Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 4 months ago
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 2 years ago
- Official repo for Offline RL for Online RL☆18Updated 2 years ago
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆28Updated 2 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 4 months ago
- Robust Reinforcement Learning Benchmark☆11Updated last year
- Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…☆27Updated 2 years ago
- ☆25Updated last year
- Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)☆22Updated 4 years ago
- [ICLR 2024 oral] Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning☆28Updated last year
- ☆17Updated 2 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆49Updated 3 years ago
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆78Updated last year
- Source code to reproduce experiments from Mendez et al., ICLR '22☆22Updated 3 years ago
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆31Updated 3 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization☆27Updated 2 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆91Updated 11 months ago
- ☆24Updated 3 years ago
- Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)☆36Updated 2 years ago
- The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.☆23Updated 2 years ago
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆27Updated 2 years ago
- [NeurIPS 2023] Implementation of Elastic Decision Transformer☆36Updated 2 years ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆31Updated 4 years ago