Extending rllab to event-driven multiagent environments
☆13Oct 1, 2018Updated 7 years ago
Alternatives and similar repositories for event-driven-rllab
Users that are interested in event-driven-rllab are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Generalised UDRL☆37May 12, 2022Updated 3 years ago
- Learning Robust Dynamics Through Variational Sparse Gating☆20Oct 19, 2022Updated 3 years ago
- POPGym Library in JAX☆13Apr 15, 2024Updated last year
- A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.☆18Feb 27, 2023Updated 3 years ago
- PlaNet: Learning Latent Dynamics for Planning from Pixels☆10Feb 13, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)☆16Jan 7, 2025Updated last year
- Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…☆28Mar 24, 2023Updated 3 years ago
- ☆11Jun 7, 2023Updated 2 years ago
- An RNN-based reinforcement learning model☆11Jun 29, 2023Updated 2 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆39Sep 4, 2018Updated 7 years ago
- Implementation of Neurips 2023 Paper "Multi Time Scale World Models"☆16Nov 8, 2024Updated last year
- Code for the paper "Harnessing Discrete Representations for Continual Reinforcement Learning"☆16Jun 16, 2024Updated last year
- Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.☆21Mar 9, 2021Updated 5 years ago
- Minimizing Control for Credit Assignment with Strong Feedback☆14Nov 3, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆20Jan 11, 2023Updated 3 years ago
- ☆12Jul 8, 2024Updated last year
- ☆13May 21, 2024Updated last year
- Dreamer on JAX☆16Jan 19, 2022Updated 4 years ago
- Deep Implicit Coordination Graphs☆44May 29, 2024Updated last year
- ☆10Dec 29, 2020Updated 5 years ago
- ☆11Apr 12, 2020Updated 6 years ago
- ☆19Apr 12, 2024Updated 2 years ago
- ☆13Apr 11, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents☆12Jan 14, 2022Updated 4 years ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Jun 15, 2023Updated 2 years ago
- A multi agent multi arena car simulator oriented towards Reinforcement Learning with simultaneous multi instance spawning capability☆20Apr 28, 2019Updated 6 years ago
- OpenAI gym environments for goal-conditioned and language-conditioned reinforcement learning☆14Jan 27, 2026Updated 2 months ago
- Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".☆13Feb 14, 2024Updated 2 years ago
- A second order optimizer for TensorFlow that uses the Saddle-Free method.☆22Feb 4, 2019Updated 7 years ago
- ☆10Dec 21, 2021Updated 4 years ago
- Ant algorithm to solve vehicle routing problems with time windows☆10May 26, 2018Updated 7 years ago
- Dataset collection and training code for "Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning"☆11Apr 8, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for the paper "Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning"☆15Jul 4, 2022Updated 3 years ago
- ☆11Jun 8, 2020Updated 5 years ago
- This is the codebase for our ICRA 2020 submission, GraphRQI: Classifying Driver Behaviors Using Graph Spectrums.☆13Dec 8, 2019Updated 6 years ago
- City Metro Network Expansion with Reinforcement Learning☆13Feb 13, 2020Updated 6 years ago
- pytorch implementation of multitask training of RNN☆17Jul 2, 2019Updated 6 years ago
- ☆16May 15, 2022Updated 3 years ago
- Official implementation of Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models (ICLR 2024 Spotlight)☆15Dec 27, 2024Updated last year