XinJingHao / Actor-Sharer-Learner
Actor-Sharer-Learner training framework for off-policy DRL algorithms
☆20Updated 3 months ago
Alternatives and similar repositories for Actor-Sharer-Learner:
Users that are interested in Actor-Sharer-Learner are comparing it to the libraries listed below
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆46Updated last year
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- ☆23Updated last year
- Modular Single-file Reinfocement Learning Algorithms Library☆37Updated last year
- Drop-in environment replacements that make your RL algorithm train faster.☆20Updated 10 months ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆9Updated last year
- Official code for "A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning"☆15Updated 2 years ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning.☆25Updated 2 years ago
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆12Updated last year
- Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…☆27Updated 2 years ago
- A modular implementation of PPO, and soon hopefully other algorithms.☆26Updated last year
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆20Updated 2 years ago
- OpenAi's gym environment wrapper to vectorize them with Ray☆22Updated last year
- ☆32Updated 8 months ago
- ☆36Updated 2 years ago
- DecentralizedLearning☆24Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 5 months ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated last year
- ☆21Updated last year
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆18Updated last year
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆22Updated 2 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- ☆42Updated 2 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆40Updated 2 years ago
- The official implementation of Memory-efficient DQN algorithm.☆10Updated last year