quantumiracle / Benchmark-Efficient-Reinforcement-Learning-with-DemonstrationsLinks
Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms include DDPG, PPO.
☆33Updated 2 years ago
Alternatives and similar repositories for Benchmark-Efficient-Reinforcement-Learning-with-Demonstrations
Users that are interested in Benchmark-Efficient-Reinforcement-Learning-with-Demonstrations are comparing it to the libraries listed below
Sorting:
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆43Updated 6 years ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆90Updated 5 years ago
- There will be updates later☆87Updated 6 years ago
- ☆122Updated 2 years ago
- Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.☆40Updated 4 years ago
- ☆49Updated 4 years ago
- Public implementation of "Multi-Agent Graph-Attention Communication and Teaming" from AAMAS'21☆86Updated last year
- ☆40Updated 4 years ago
- Assignments for CS294-112.☆30Updated 6 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆107Updated 3 years ago
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆36Updated 4 years ago
- ReinforcementLearning Learn Play Atari Using DDPG and LSTM.☆20Updated 8 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆41Updated 3 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆88Updated 8 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆116Updated 3 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆54Updated 10 months ago
- Codes for Paper "Delay-Aware Model-Based Reinforcement Learning for Continuous Control".☆28Updated 5 years ago
- ☆54Updated 6 years ago
- using recurrent networks(LSTM) to solve POMDPs☆35Updated 7 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago
- ☆39Updated 3 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆44Updated 4 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆50Updated 6 years ago
- ☆62Updated 5 years ago
- This repository is the official implementation of Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor N…☆51Updated 5 years ago
- DSAC; Distributional Soft Actor-Critic☆136Updated 10 months ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆61Updated 5 years ago
- ☆25Updated 3 years ago