FanmingL / ESCPLinks
Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy
☆20Updated 3 years ago
Alternatives and similar repositories for ESCP
Users that are interested in ESCP are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated 4 months ago
- ☆30Updated 2 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆60Updated last year
- Re-implementations of SOTA RL algorithms.☆135Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆93Updated last year
- ☆51Updated 3 years ago
- Code for FOCAL Paper Published at ICLR 2021☆52Updated 2 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 3 years ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆46Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆40Updated 9 months ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Updated last year
- RLA is a tool for managing your RL experiments automatically☆30Updated 11 months ago
- Meta RL codebase for Unstable Baselines☆22Updated 3 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆61Updated 2 years ago
- RLA is a tool for managing your RL experiments automatically☆71Updated 2 years ago
- ☆15Updated 4 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆35Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆76Updated 9 months ago
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆23Updated 2 years ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆31Updated 2 weeks ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆39Updated last year
- ☆115Updated 2 years ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆37Updated 3 years ago
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆33Updated last year
- code for ROMANCE☆14Updated last year
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆88Updated 2 years ago
- This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…☆22Updated 2 years ago
- ☆16Updated last month
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆21Updated 2 weeks ago