Multiagent Competition
Code for the paper "Emergent Complexity via Multi-agent Competition"
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Td3 | 1,383 | 9 months ago | 2 | mit | Python | |||||
| Author's PyTorch implementation of TD3 for OpenAI gym tasks | ||||||||||
| Multiagent Competition | 614 | 5 years ago | 12 | Python | ||||||
| Code for the paper "Emergent Complexity via Multi-agent Competition" | ||||||||||
| Mlsh | 520 | 5 years ago | 16 | Python | ||||||
| Code for the paper "Meta-Learning Shared Hierarchies" | ||||||||||
| Dne | 122 | 4 years ago | 3 | mit | Ruby | |||||
| A set of neuroevolution experiments with/towards deep networks | ||||||||||
| Safety Starter Agents | 86 | 4 years ago | 5 | mit | Python | |||||
| Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper. | ||||||||||
| Policy Adaptation During Deployment | 46 | 3 years ago | Python | |||||||
| Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper. | ||||||||||
| Mppi_pendulum | 39 | 4 years ago | 3 | Python | ||||||
| The implementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Learning" (Williams et al., 2017) for the pendulum OpenAI Gym environment | ||||||||||
| Tecnets | 26 | 4 years ago | 3 | other | Python | |||||
| Official code for "Task-Embedded Control Networks for Few-Shot Imitation Learning". | ||||||||||
| Covid 19 Resources | 24 | 4 years ago | gpl-3.0 | |||||||
| Resources for Covid-19 | ||||||||||
| Env Zoo | 22 | 5 years ago | ||||||||
| A curated list of reinforcement learning environments and frameworks. | ||||||||||
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