marcbrittain / Prioritized-Sequence-Experience-Replay
Prioritized Sequence Experience Replay
☆10Updated 3 years ago
Alternatives and similar repositories for Prioritized-Sequence-Experience-Replay:
Users that are interested in Prioritized-Sequence-Experience-Replay are comparing it to the libraries listed below
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆44Updated 4 years ago
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments☆27Updated 4 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆26Updated 3 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 4 years ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆51Updated 3 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 5 years ago
- ☆14Updated last year
- Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"☆13Updated 3 years ago
- V-MPO torch version with DMLab30 and GTrXL☆12Updated 4 years ago
- Codes accompanying the paper "Offline Reinforcement Learning with Value-Based Episodic Memory" (ICLR 2022 https://arxiv.org/abs/2110.0979…☆12Updated 2 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 5 years ago
- ☆14Updated 3 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆50Updated 3 years ago
- ☆22Updated 2 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆34Updated 3 years ago
- ☆54Updated last year
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 5 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆34Updated 4 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆20Updated 3 years ago
- ☆31Updated 4 years ago
- ☆55Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆29Updated 4 years ago
- DecentralizedLearning☆24Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆42Updated 5 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆21Updated last year
- ☆18Updated 2 years ago