AlexGoldie / rl-learned-optimizationLinks
Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"
☆29Updated 7 months ago
Alternatives and similar repositories for rl-learned-optimization
Users that are interested in rl-learned-optimization are comparing it to the libraries listed below
Sorting:
- Unified Implementations of Offline Reinforcement Learning Algorithms☆171Updated last month
- ☆88Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆110Updated 2 years ago
- ☆88Updated 3 months ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆226Updated 2 weeks ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆128Updated 5 months ago
- ☆112Updated 9 months ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆79Updated last month
- Challenging Memory-based Deep Reinforcement Learning Agents☆105Updated last year
- Clean single-file implementation of offline RL algorithms in JAX☆163Updated 2 weeks ago
- Conservative Q learning in Jax☆56Updated 2 years ago
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023☆22Updated last year
- An Open-Ended Agentic Simulator☆56Updated last year
- Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.☆198Updated 2 weeks ago
- JAX implementation of RL algorithms and vectorized environments☆49Updated last year
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆62Updated last week
- ReDo: The Dormant Neuron Phenomenon in Deep Reinforcement Learning (pytorch)☆32Updated last year
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆60Updated 2 years ago
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Code for the papers Hypernetworks in Meta-Reinforcement Learning (Beck et al., 2022) and Recurrent Hypernetworks are Surprisingly Strong …☆15Updated last year
- Accelerated minigrid environments with JAX☆153Updated last month
- ☆19Updated 6 months ago
- Evaluating long-term memory of reinforcement learning algorithms☆154Updated 2 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆56Updated 2 years ago
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆264Updated 2 months ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆74Updated last year
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆250Updated last month
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆21Updated last year
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆118Updated last year