luchris429 / popjaxrlLinks
Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
☆110Updated last year
Alternatives and similar repositories for popjaxrl
Users that are interested in popjaxrl are comparing it to the libraries listed below
Sorting:
- ☆87Updated 2 months ago
- Learning diverse options through the Laplacian representation.☆23Updated last year
- ☆87Updated last year
- Challenging Memory-based Deep Reinforcement Learning Agents☆104Updated last year
- POPGym Library in JAX☆11Updated last year
- Unified Implementations of Offline Reinforcement Learning Algorithms☆120Updated last month
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆117Updated last year
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆121Updated 4 months ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆61Updated last month
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆102Updated last month
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Contains JAX implementation of algorithms for inverse reinforcement learning☆73Updated last year
- General Modules for JAX☆71Updated 2 months ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆212Updated last week
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆77Updated 2 weeks ago
- Evaluating long-term memory of reinforcement learning algorithms☆151Updated 2 years ago
- An Open-Ended Agentic Simulator☆54Updated last year
- Accelerated minigrid environments with JAX☆152Updated last month
- Clean single-file implementation of offline RL algorithms in JAX☆160Updated 10 months ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆28Updated 6 months ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆21Updated last year
- Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite☆44Updated 2 years ago
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated last year
- Baselines for gymnax 🤖☆72Updated 2 years ago
- Drop-in environment replacements that make your RL algorithm train faster.☆21Updated last year
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆77Updated last year
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Updated 2 years ago
- ☆52Updated 2 years ago
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆84Updated last year