Howuhh / prioritized_experience_replay
Prioritized Experience Replay implementation with proportional prioritization
☆76Updated last year
Alternatives and similar repositories for prioritized_experience_replay:
Users that are interested in prioritized_experience_replay are comparing it to the libraries listed below
- Author's PyTorch implementation of TD7 for online and offline RL☆127Updated last year
- Implementation of Trajectory Transformer with attention caching and batched beam search☆109Updated last year
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆165Updated 7 months ago
- Partially Observable Process Gym☆175Updated 7 months ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆122Updated 6 months ago
- The Starcraft Multi-Agent challenge lite☆41Updated 5 months ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆161Updated 2 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆134Updated 9 months ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 2 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆131Updated 9 months ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆160Updated last week
- Pytorch version of Dreamer, which follows the original TF v2 codes.☆121Updated 3 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆42Updated 5 months ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆157Updated 3 months ago
- Conservative Q Learning on top of SAC☆123Updated 2 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆65Updated last year
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆81Updated last year
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆154Updated 7 months ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆81Updated last year
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆60Updated last year
- ☆107Updated last year
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆175Updated last year
- Simple maze environments using mujoco-py☆54Updated last year
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆187Updated 5 months ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆99Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆142Updated this week
- A PyTorch implementation of Implicit Q-Learning☆71Updated 3 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆118Updated 3 years ago
- A collection of offline reinforcement learning algorithms.☆166Updated 2 months ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago