hmishfaq / LSACLinks
The official code release for "Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning", ICLR 2025
☆13Updated 8 months ago
Alternatives and similar repositories for LSAC
Users that are interested in LSAC are comparing it to the libraries listed below
Sorting:
- ExORL: Exploratory Data for Offline Reinforcement Learning☆126Updated 4 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆92Updated last year
- Synthetic Experience Replay☆107Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Updated 2 years ago
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆104Updated 3 years ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆105Updated 4 months ago
- Reinforcement Learning via Supervised Learning☆72Updated 3 years ago
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆40Updated last year
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆84Updated 2 years ago
- ☆14Updated last year
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆83Updated 3 years ago
- Repo for Implicit Diffusion Q-Learning☆123Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆76Updated 11 months ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆31Updated 4 years ago
- 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☆29Updated last year
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆113Updated last year
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 3 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆86Updated 3 years ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- ☆55Updated 2 years ago
- Learning diverse options through the Laplacian representation.☆23Updated 2 years ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆55Updated 4 years ago
- Image-based gridworld experiment for learning Markov state abstractions☆21Updated last year
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆62Updated last month
- Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.☆111Updated 2 years ago
- Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.☆53Updated 2 years ago
- ☆33Updated last year
- Challenging Memory-based Deep Reinforcement Learning Agents☆109Updated last year