SonyResearch / simba
☆82Updated 2 months ago
Alternatives and similar repositories for simba:
Users that are interested in simba are comparing it to the libraries listed below
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆44Updated this week
- Unified Implementations of Offline Reinforcement Learning Algorithms☆64Updated last week
- Skeleton for scalable and flexible Jax RL implementations☆80Updated last year
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆68Updated last year
- Foundation Policies with Hilbert Representations (ICML 2024)☆84Updated last year
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆38Updated last year
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆82Updated 5 months ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆100Updated 11 months ago
- A benchmark for offline goal-conditioned RL and offline RL☆162Updated last month
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning☆92Updated 9 months ago
- Goal-Conditioned Reinforcement Learning with JAX☆153Updated last week
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆91Updated 3 weeks ago
- ☆18Updated 3 months ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆70Updated 11 months ago
- Official implementation of the BRO algorithm☆42Updated 3 months ago
- DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …☆73Updated 11 months ago
- [ICLR 2025] Bootstrapped Model Predictive Control☆12Updated 2 weeks ago
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023☆19Updated last year
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆66Updated 11 months ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆56Updated 7 months ago
- JAX implementation of WSRL and RL baselines | ICLR 2025☆42Updated 2 weeks ago
- Synchronized Curriculum Learning for RL Agents☆44Updated last month
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 10 months ago
- Transformer-based World Models☆81Updated 2 years ago
- Simple maze environments using mujoco-py☆54Updated last year
- Code for TRANSDREAMER: REINFORCEMENT LEARNING WITH TRANSFORMER WORLD MODELS☆25Updated last year
- ☆44Updated 5 months ago
- Synthetic Experience Replay☆93Updated 11 months ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆113Updated 3 years ago
- Public code for "Reinforcement Learning from Passive Data via Latent Intentions"☆89Updated last year