cor3bit / bertsekas-marl
PyTorch Implementation of the Sequential Multiagent Rollout algorithm
☆10Updated 7 months ago
Alternatives and similar repositories for bertsekas-marl:
Users that are interested in bertsekas-marl are comparing it to the libraries listed below
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆30Updated last month
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆36Updated 4 months ago
- Implementation of ``Actor-Critic Alignment for Offline-to-Online Reinforcement Learning''☆13Updated last year
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- ☆29Updated 2 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆34Updated 3 years ago
- ☆14Updated last year
- Representation Learning (RepL) Methods in Reinforcement Learning and Causal Inference☆23Updated 3 months ago
- Synthetic Experience Replay☆84Updated 8 months ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆60Updated last year
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆44Updated last month
- Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24☆24Updated 5 months ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆69Updated last year
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Updated 2 years ago
- Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]☆23Updated 2 months ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆42Updated 4 months ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 2 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆27Updated 3 years ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated last year
- ☆30Updated last year
- ☆28Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆81Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆124Updated last year
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated last year
- Official Implementation for Quality-Similar Diversity via Population Based Reinforcement Learning☆17Updated last year
- ☆18Updated 2 years ago
- Simple maze environments using mujoco-py☆54Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆64Updated last year
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆60Updated 4 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆160Updated 2 years ago