zombie-einstein / flock_envLinks
Boid flock multi-agent RL training environment implemented in JAX
☆13Updated last month
Alternatives and similar repositories for flock_env
Users that are interested in flock_env are comparing it to the libraries listed below
Sorting:
- Source code for Pathfinding in Stochastic Environments paper.☆14Updated 2 years ago
- The official implementation of Memory-efficient DQN algorithm.☆10Updated last year
- Swarm learning algorithm☆11Updated 4 years ago
- Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.☆33Updated 4 years ago
- Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)☆17Updated 3 years ago
- A modular implementation of PPO, and soon hopefully other algorithms.☆26Updated last year
- Model-based reinforcement learning using CEM, MPC and PETS☆16Updated 5 years ago
- Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"☆14Updated 3 years ago
- ☆22Updated last year
- Official implementation of "Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning"☆15Updated last year
- JAX-based implementation for multi-agent path planning (MAPP) in continuous spaces.☆53Updated 2 years ago
- Bayesian active RL (BARL) and trajectory information planning (TIP)☆25Updated 2 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆39Updated 4 years ago
- Official code for "A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning"☆15Updated 2 years ago
- Hierarchical Reinforcement Learning (batteries included)☆46Updated 5 years ago
- A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent …☆22Updated last month
- The implementation of Discriminator Soft Actor Critic☆15Updated 5 years ago
- Implementation of Proximal Policy Optimization in Jax+Flax☆20Updated 2 years ago
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆30Updated 2 years ago
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking (IROS22).☆10Updated 2 years ago
- [IROS 22'] Model-free Neural Lyapunov Control☆23Updated 2 years ago
- Decision Transformer for offline single-agent autonomous highway driving☆25Updated 2 years ago
- Model-based reinforcement learning (generative simulator models and planning agents)☆16Updated 3 years ago
- Codebase for Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads paper. Website: https://sites.google.com/view/met…☆31Updated 2 years ago
- ☆18Updated 4 years ago
- OpenAi's gym environment wrapper to vectorize them with Ray☆23Updated 2 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- Literature and code for inverse reinforcement leanring research☆30Updated 5 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆23Updated 4 years ago
- PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer☆10Updated last year