Continual RL Workshop@continual_learn
♾️ Continual RL Workshop comes to life tomorrow!
📍 B-2305, Université de Montréal
3200 Jean-Brillant, Montréal, Canada
🕘 9:00–17:30
Come learn. Continually, of course. ♾️
🔗 Program:
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Continual RL Workshop
@continual_learn
Continual Reinforcement Learning Workshop ✨ First Edition @ RLC 2026, Montreal, Canada
47 Following502 Followers73 Posts
- Continual RL Workshop@continual_learnContinual RL WorkshopRT @continual_learn: 🎥 Finally, we’ve collected all the recordings from the first edition of the Continual RL Workshop in a YouTube playlist and preserved some great memories from the event in our website gallery! 📸✨ ▶️ Playlist: 🖼️ Gallery:01303.7K
- Continual RL Workshop@continual_learnContinual RL WorkshopRT @apsarathchandar: Simple ideas often generalize best! Loss smoothing is one of those really simple ideas that works surprisingly well for adaptation under distribution shift. Really excited about this line of work!Continual RL Workshop @continual_learnOur third invited talk by Sarath Chandar (@apsarathchandar) was about: 🎙️ Stable Adaptation Under Distribution Shift 🎥0502
- Continual RL Workshop@continual_learnOur third invited talk by Sarath Chandar (@apsarathchandar) was about: 🎙️ Stable Adaptation Under Distribution Shift 🎥
01287.2K - Continual RL Workshop@continual_learnThe final contributed talk was given by Zijing Wu (@ZijingWu381): 🎙️ QD-Learning for Continual Reinforcement Learning 🔗
07291.6K - Continual RL Workshop@continual_learnA. Rupam Mahmood (@rupammahmood) gave the final talk in our workshop: 🎙️ Challenges of Single-Life Continual RL 🎥
01211.1K - Continual RL Workshop@continual_learnThe penultimate contributed talk in our workshop was given by Edan Meyer (@ejmejm1): 🎙️ Connectivity, Credit Assignment, and the Speed of Learning 🔗
02221.7K - Continual RL Workshop@continual_learnRich Sutton (@RichardSSutton) delivered a talk in our workshop: 🎙️ Generate-and-test methods for Continual Learning 🎥
3211008.5K - Continual RL Workshop@continual_learnContinual RL WorkshopRT @j_klawson: It was an honour to be invited to present our Security Gym environment at the @continual_learn workshop at the RLC conference. Have to admit it was a little intimidating to be sandwiched between @RichardSSutton and a panel of industry experts but it made for a packed room to hear my little talk. Received some great feedback in the poster sessions that I can incorporate into the environment and paper. The reinforcement learning community is really great community that I'm looking forward to working with more.Continual RL Workshop @continual_learnThe second oral talk of the afternoon session was given by Keith Lawson (@j_klawson): 🎙️ Security-Gym: Evaluating Temporally-Uniform Agents on High-Fidelity Linux Telemetry 🔗0102
- Continual RL Workshop@continual_learnThe second oral talk of the afternoon session was given by Keith Lawson (@j_klawson): 🎙️ Security-Gym: Evaluating Temporally-Uniform Agents on High-Fidelity Linux Telemetry 🔗
0011983 - Continual RL Workshop@continual_learnContinual RL WorkshopRT @PeterStone_TX: I was honored to talk at this interesting workshop. Thanks to the organizers for inviting me!Continual RL Workshop @continual_learnThe second invited talk of the afternoon session was given by Peter Stone (@PeterStone_TX): 🎙️ Continual RL and Automatic Curriculum Learning 🎥0101
- Continual RL Workshop@continual_learnThe second invited talk of the afternoon session was given by Peter Stone (@PeterStone_TX): 🎙️ Continual RL and Automatic Curriculum Learning 🎥099012.5K
- Continual RL Workshop@continual_learnThe first contributed talk of the afternoon session was given by Ben Sanati: 🎙️ Forgetting is Everywhere 🔗
21171.5K - Continual RL Workshop@continual_learnRevisit our first invited talk of the afternoon session by David Abel (@dabelcs): 🎙️ Where is Learning? 🎥 ✨ In this talk, David gave a simple general definition of an agent, and asked: where in such an agent does learning take place?
04211.1K - Continual RL Workshop@continual_learnThe third contributed talk in our workshop was given by Luc McCutcheon: 🎙️ Calibrated Partial Resets: Preventing Policy Collapse in Continual Reinforcement Learning 🔗
006296 - Continual RL Workshop@continual_learnOur second contributed talk in our workshop was given by @cogscikid @neilhshah15: 🎙️Task diversity produces systematic transfer but inhibits continual reinforcement learning 📷
01194.1K - Continual RL Workshop@continual_learnKatia Sycara gave our second invited talk: 🎙️ Long Horizon Reasoning via Neurosymbolic Learning Due to technical issues, only the slides are available for this talk. 📄 Slides:
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